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You searched for +publisher:"Penn State University" +contributor:("Runze Li, Committee Member"). Showing records 1 – 30 of 52 total matches.

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Penn State University

1. Sheen, Emily Marie. An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories.

Degree: 2019, Penn State University

 This thesis presents several methods for analyzing longitudinal clinical trial data, and applies the methods in a data analysis of the INSIGHT study. Chapter 1… (more)

Subjects/Keywords: generalized linear mixed models; statistics; biostatistics; microbiome; INSIGHT; mixed effects random forest

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sheen, E. M. (2019). An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16923ems424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sheen, Emily Marie. “An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories.” 2019. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/16923ems424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sheen, Emily Marie. “An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories.” 2019. Web. 02 Dec 2020.

Vancouver:

Sheen EM. An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/16923ems424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sheen EM. An Exploration of Mixed Effects Models for Analysis of Infant Weight Gain Trajectories. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16923ems424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Liu, Hongcheng. nonsmooth optimization with applications in network design and machine learning.

Degree: 2015, Penn State University

 This dissertation concerns three specific optimization problems in applications to traffic network design and machine leaning. The formulations of these problems are all featured with… (more)

Subjects/Keywords: Nonsmooth optimization; machine learning; network design; folded concave penalty; sparse recovery

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APA (6th Edition):

Liu, H. (2015). nonsmooth optimization with applications in network design and machine learning. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Hongcheng. “nonsmooth optimization with applications in network design and machine learning.” 2015. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/25923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Hongcheng. “nonsmooth optimization with applications in network design and machine learning.” 2015. Web. 02 Dec 2020.

Vancouver:

Liu H. nonsmooth optimization with applications in network design and machine learning. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/25923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu H. nonsmooth optimization with applications in network design and machine learning. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

3. Song, Won Chul. Nonparametric Independence Screening And Test-based Screening Via The Variance Of The Regression Function.

Degree: 2015, Penn State University

 This dissertation develops procedures for screening variables, in ultrahigh-dimensional settings, based on their predictive significance. First, we review existing literature on the sure screening procedures… (more)

Subjects/Keywords: Sure independence screening; test-based screening; Ultrahigh dimensionality

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APA (6th Edition):

Song, W. C. (2015). Nonparametric Independence Screening And Test-based Screening Via The Variance Of The Regression Function. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26278

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Song, Won Chul. “Nonparametric Independence Screening And Test-based Screening Via The Variance Of The Regression Function.” 2015. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/26278.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Song, Won Chul. “Nonparametric Independence Screening And Test-based Screening Via The Variance Of The Regression Function.” 2015. Web. 02 Dec 2020.

Vancouver:

Song WC. Nonparametric Independence Screening And Test-based Screening Via The Variance Of The Regression Function. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/26278.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Song WC. Nonparametric Independence Screening And Test-based Screening Via The Variance Of The Regression Function. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26278

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

4. Lin, Bo. A Protocol-Based, Inverse-Model-Driven Methodology for Building Auditing and Forward Energy Model Formulation.

Degree: 2015, Penn State University

 This dissertation demonstrates two methods to formulate inverse regression models of a building’s as operated energy utilization. Two advanced and robust variable selection techniques -Least… (more)

Subjects/Keywords: Inverse model; energy model; calibration; measurement & verification; sub-metering; variable selection; benchmark; audit

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APA (6th Edition):

Lin, B. (2015). A Protocol-Based, Inverse-Model-Driven Methodology for Building Auditing and Forward Energy Model Formulation. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27233

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Bo. “A Protocol-Based, Inverse-Model-Driven Methodology for Building Auditing and Forward Energy Model Formulation.” 2015. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/27233.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Bo. “A Protocol-Based, Inverse-Model-Driven Methodology for Building Auditing and Forward Energy Model Formulation.” 2015. Web. 02 Dec 2020.

Vancouver:

Lin B. A Protocol-Based, Inverse-Model-Driven Methodology for Building Auditing and Forward Energy Model Formulation. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/27233.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin B. A Protocol-Based, Inverse-Model-Driven Methodology for Building Auditing and Forward Energy Model Formulation. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27233

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

5. Xu, Zhuying. Locally Stationary Quantile Regression For Inflation and Interest Rates.

Degree: 2015, Penn State University

 There has been an extensive literature on understanding the role of interest rates and inflation in financial markets. Under some assumptions on the conditional expected… (more)

Subjects/Keywords: Locally stationary model; Nonparametric estimation; Quantile reg

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APA (6th Edition):

Xu, Z. (2015). Locally Stationary Quantile Regression For Inflation and Interest Rates. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Zhuying. “Locally Stationary Quantile Regression For Inflation and Interest Rates.” 2015. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/27213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Zhuying. “Locally Stationary Quantile Regression For Inflation and Interest Rates.” 2015. Web. 02 Dec 2020.

Vancouver:

Xu Z. Locally Stationary Quantile Regression For Inflation and Interest Rates. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/27213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu Z. Locally Stationary Quantile Regression For Inflation and Interest Rates. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

6. Taoufik, Bahaeddine. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.

Degree: 2016, Penn State University

 This thesis is concerned with developing new functional data techniques for high frequency financial applications. Chapter 1 of the thesis introduces Functional Data Analysis (FDA)… (more)

Subjects/Keywords: Functional Data; Nonlinear Functional Regression; Cross-section of returns; Cumulative intraday returns; Reproducing kernel Hilbert spaces

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APA (6th Edition):

Taoufik, B. (2016). FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13392but129

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/13392but129.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Web. 02 Dec 2020.

Vancouver:

Taoufik B. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/13392but129.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Taoufik B. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13392but129

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

7. Shi, Zhan. Risk, Ambiguity, and Anomalies in the Fixed Income Market.

Degree: 2014, Penn State University

 This dissertation contains five essays on the implications of risks and ambiguity for asset pricing puzzles, especially in the fixed income market. The first essay… (more)

Subjects/Keywords: Knightian uncertainty; asset pricing; equity premium; term premium; credit spreads

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APA (6th Edition):

Shi, Z. (2014). Risk, Ambiguity, and Anomalies in the Fixed Income Market. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/21997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shi, Zhan. “Risk, Ambiguity, and Anomalies in the Fixed Income Market.” 2014. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/21997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shi, Zhan. “Risk, Ambiguity, and Anomalies in the Fixed Income Market.” 2014. Web. 02 Dec 2020.

Vancouver:

Shi Z. Risk, Ambiguity, and Anomalies in the Fixed Income Market. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/21997.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shi Z. Risk, Ambiguity, and Anomalies in the Fixed Income Market. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/21997

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

8. Luo, Wei. Efficient estimation and order determination for sufficient dimension reduction.

Degree: 2014, Penn State University

 Sufficient dimension reduction (SDR) has driven intense interest in the recent decades as a solution to deal with high-dimensional data. The goal of SDR is… (more)

Subjects/Keywords: dimension reduction; order-determination; bootstrap; augmentation; semi-parametric; efficient estimation.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Luo, W. (2014). Efficient estimation and order determination for sufficient dimension reduction. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22425

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Luo, Wei. “Efficient estimation and order determination for sufficient dimension reduction.” 2014. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/22425.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Luo, Wei. “Efficient estimation and order determination for sufficient dimension reduction.” 2014. Web. 02 Dec 2020.

Vancouver:

Luo W. Efficient estimation and order determination for sufficient dimension reduction. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/22425.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Luo W. Efficient estimation and order determination for sufficient dimension reduction. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22425

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

9. Poterjoy, Jonathan. Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction.

Degree: 2014, Penn State University

 Numerical models and observations contain critical information regarding the earth-atmosphere system: they present a means of quantifying the system dynamics and provide evidence of the… (more)

Subjects/Keywords: Data assimilation; Kalman filtering; tropical cyclones

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APA (6th Edition):

Poterjoy, J. (2014). Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22698

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Poterjoy, Jonathan. “Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction.” 2014. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/22698.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Poterjoy, Jonathan. “Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction.” 2014. Web. 02 Dec 2020.

Vancouver:

Poterjoy J. Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/22698.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Poterjoy J. Ensemble and hybrid four-dimensional data assimilation for tropical cyclone analysis and prediction. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22698

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

10. Cho, Youngjoo. Semiparametric Analysis of Failure Time Data in the Presence of Dependent Censoring.

Degree: 2015, Penn State University

 Survival analysis is a well-established field in statistics. It has many applications to biology, economics, industrial engineering, and so on. Independent censoring is one of… (more)

Subjects/Keywords: Bivariate Data; Failure Times; Perturbation Method; Resampling; U-statistics; Causal Inference; Observational Study

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APA (6th Edition):

Cho, Y. (2015). Semiparametric Analysis of Failure Time Data in the Presence of Dependent Censoring. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cho, Youngjoo. “Semiparametric Analysis of Failure Time Data in the Presence of Dependent Censoring.” 2015. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/25773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cho, Youngjoo. “Semiparametric Analysis of Failure Time Data in the Presence of Dependent Censoring.” 2015. Web. 02 Dec 2020.

Vancouver:

Cho Y. Semiparametric Analysis of Failure Time Data in the Presence of Dependent Censoring. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/25773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cho Y. Semiparametric Analysis of Failure Time Data in the Presence of Dependent Censoring. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

11. Hsieh, Tsung-yu. ENTROPY OF SPEED AND ACCURACY TRADE-OFF IN SPACE-TIME.

Degree: 2015, Penn State University

 The relation between movement speed and accuracy is one of the most robust phenomena in human movement performance. The essence of the speed-accuracy relation is… (more)

Subjects/Keywords: Speed-accuracy trade-off; movement entropy; space-time constraints; force-time constraints; isometric force task

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APA (6th Edition):

Hsieh, T. (2015). ENTROPY OF SPEED AND ACCURACY TRADE-OFF IN SPACE-TIME. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26253

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hsieh, Tsung-yu. “ENTROPY OF SPEED AND ACCURACY TRADE-OFF IN SPACE-TIME.” 2015. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/26253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hsieh, Tsung-yu. “ENTROPY OF SPEED AND ACCURACY TRADE-OFF IN SPACE-TIME.” 2015. Web. 02 Dec 2020.

Vancouver:

Hsieh T. ENTROPY OF SPEED AND ACCURACY TRADE-OFF IN SPACE-TIME. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/26253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsieh T. ENTROPY OF SPEED AND ACCURACY TRADE-OFF IN SPACE-TIME. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26253

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

12. Mirshani, Ardalan. Regularization Methods In Functional Data Analysis.

Degree: 2019, Penn State University

 New studies, surveys, and technologies are resulting in ever richer and more informative data sets. With the development of modern technology, Functional data analysis (FDA)… (more)

Subjects/Keywords: Functional Data; Differential Privacy; Hilbert Space; Variable Selection; Reproducing Kernel Hilbert Space; Oracle Property; Elastic Net; Smooth Estimate; Density Estimation

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APA (6th Edition):

Mirshani, A. (2019). Regularization Methods In Functional Data Analysis. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16828azm245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mirshani, Ardalan. “Regularization Methods In Functional Data Analysis.” 2019. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/16828azm245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mirshani, Ardalan. “Regularization Methods In Functional Data Analysis.” 2019. Web. 02 Dec 2020.

Vancouver:

Mirshani A. Regularization Methods In Functional Data Analysis. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/16828azm245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mirshani A. Regularization Methods In Functional Data Analysis. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16828azm245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

13. Nandy, Debmalya. COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS.

Degree: 2019, Penn State University

 In two major parts as described below, this dissertation presents two novel methods for reducing the dimension of the covariate space in large supervised problems.… (more)

Subjects/Keywords: Fisher information; Density information; Supervised problems; Sufficient dimension reduction; Feature screening; Ultrahigh dimension; Bootstrap

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APA (6th Edition):

Nandy, D. (2019). COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17052dzn112

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nandy, Debmalya. “COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS.” 2019. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/17052dzn112.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nandy, Debmalya. “COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS.” 2019. Web. 02 Dec 2020.

Vancouver:

Nandy D. COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/17052dzn112.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nandy D. COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17052dzn112

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

14. Kim, Seonjin. Three essays on nonparametric inference for longitudinal data and time series data.

Degree: 2013, Penn State University

 This thesis consists of three essays on nonparametric inference problems for dependent data, such as longitudinal data and time series data. In the literature on… (more)

Subjects/Keywords: Locally stationary process; Longitudinal data; Measurement errors; Nonparametric inference; Quantile regression; Time series

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APA (6th Edition):

Kim, S. (2013). Three essays on nonparametric inference for longitudinal data and time series data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kim, Seonjin. “Three essays on nonparametric inference for longitudinal data and time series data.” 2013. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/18557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kim, Seonjin. “Three essays on nonparametric inference for longitudinal data and time series data.” 2013. Web. 02 Dec 2020.

Vancouver:

Kim S. Three essays on nonparametric inference for longitudinal data and time series data. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/18557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim S. Three essays on nonparametric inference for longitudinal data and time series data. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

15. Zhu, Yeying. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.

Degree: 2013, Penn State University

 In most nonrandomized observational studies, differences between treatment groups may arise not only due to the treatment but also because of the effect of confounders.… (more)

Subjects/Keywords: causal inference; data-adaptive; data mining; observational studies; propensity scores

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APA (6th Edition):

Zhu, Y. (2013). Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18662

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhu, Yeying. “Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.” 2013. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/18662.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhu, Yeying. “Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.” 2013. Web. 02 Dec 2020.

Vancouver:

Zhu Y. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/18662.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu Y. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18662

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

16. Liu, Nianqing. Identification, Estimation and Testing in Empirical Games.

Degree: 2013, Penn State University

 This dissertation consists of three chapters. Chapter 1 studies the rationalization and identification of discrete games where players have correlated private types. Our approach is… (more)

Subjects/Keywords: Discrete Games; First-price Auctions; Incomplete Information; Bayesian Nash Equilibrium; Monotone Strategy

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APA (6th Edition):

Liu, N. (2013). Identification, Estimation and Testing in Empirical Games. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18988

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Nianqing. “Identification, Estimation and Testing in Empirical Games.” 2013. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/18988.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Nianqing. “Identification, Estimation and Testing in Empirical Games.” 2013. Web. 02 Dec 2020.

Vancouver:

Liu N. Identification, Estimation and Testing in Empirical Games. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/18988.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu N. Identification, Estimation and Testing in Empirical Games. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18988

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

17. Xu, Zhanxiong. Efficient parameter estimation methods using quantile regression in heteroscedastic models.

Degree: 2017, Penn State University

 The quantile regression method, first introduced by \citet{koenker1978regression}, provides a comprehensive toolkit of performing statistical inference for a class of statistical models and has become… (more)

Subjects/Keywords: quantile regression; heteroscedastic models; optimal weighting; composite quantile regression

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APA (6th Edition):

Xu, Z. (2017). Efficient parameter estimation methods using quantile regression in heteroscedastic models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14148zux106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Zhanxiong. “Efficient parameter estimation methods using quantile regression in heteroscedastic models.” 2017. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/14148zux106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Zhanxiong. “Efficient parameter estimation methods using quantile regression in heteroscedastic models.” 2017. Web. 02 Dec 2020.

Vancouver:

Xu Z. Efficient parameter estimation methods using quantile regression in heteroscedastic models. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/14148zux106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu Z. Efficient parameter estimation methods using quantile regression in heteroscedastic models. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14148zux106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

18. Lee, Kevin Haeseung. Statistical Learning of Complex Large-Scale Dynamic Systems.

Degree: 2017, Penn State University

 Due to advances in data collection technologies, large-scale network/graph analysis has been increasingly important in various research fields such as artificial intelligence, business, finance, genomics,… (more)

Subjects/Keywords: Statistical learning; Model-based clustering; Dynamic networks; Graphical model; EM algorithm; Variational inference

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APA (6th Edition):

Lee, K. H. (2017). Statistical Learning of Complex Large-Scale Dynamic Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14151khl119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Kevin Haeseung. “Statistical Learning of Complex Large-Scale Dynamic Systems.” 2017. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/14151khl119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Kevin Haeseung. “Statistical Learning of Complex Large-Scale Dynamic Systems.” 2017. Web. 02 Dec 2020.

Vancouver:

Lee KH. Statistical Learning of Complex Large-Scale Dynamic Systems. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/14151khl119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee KH. Statistical Learning of Complex Large-Scale Dynamic Systems. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14151khl119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

19. Song, Jun. Dimension reduction for functional data.

Degree: 2017, Penn State University

 In regression problems, sufficient dimension reduction (SDR) allows us to reduce the dimension of predictor variables without losing any regression information which is considered to… (more)

Subjects/Keywords: dimension reduction; random operator; supervised machine learning; unsupervised machine learning; functional data analysis; handwriting data; speech recognition data; dimension reduction; random operator; supervised machine learning; unsupervised machine learning; functional data analysis; handwriting data; speech recognition data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Song, J. (2017). Dimension reduction for functional data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14278sxj942

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Song, Jun. “Dimension reduction for functional data.” 2017. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/14278sxj942.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Song, Jun. “Dimension reduction for functional data.” 2017. Web. 02 Dec 2020.

Vancouver:

Song J. Dimension reduction for functional data. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/14278sxj942.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Song J. Dimension reduction for functional data. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14278sxj942

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

20. Wan, Yuanyuan. INTEGRATION BASED METHODS FOR ECONOMETRIC MODELS .

Degree: 2011, Penn State University

 In my dissertation, I propose new integration–based estimation and inference methods for several classes of models, namely Kim and Pollard (1990)–type models, robust estimation in… (more)

Subjects/Keywords: cube root; Integration based methods; moment inequality

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APA (6th Edition):

Wan, Y. (2011). INTEGRATION BASED METHODS FOR ECONOMETRIC MODELS . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12037

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wan, Yuanyuan. “INTEGRATION BASED METHODS FOR ECONOMETRIC MODELS .” 2011. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/12037.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wan, Yuanyuan. “INTEGRATION BASED METHODS FOR ECONOMETRIC MODELS .” 2011. Web. 02 Dec 2020.

Vancouver:

Wan Y. INTEGRATION BASED METHODS FOR ECONOMETRIC MODELS . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/12037.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wan Y. INTEGRATION BASED METHODS FOR ECONOMETRIC MODELS . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12037

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

21. Chen, Po-Chun. Experience-Based Cyber Security Analytics.

Degree: 2011, Penn State University

 As the demand for computational resources and connectivity increases and contemporary computer network systems become more complex, the management of cyber security is progressively becoming… (more)

Subjects/Keywords: Cyber Situation Awareness; Intrusion Detection; Situation Recognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, P. (2011). Experience-Based Cyber Security Analytics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Po-Chun. “Experience-Based Cyber Security Analytics.” 2011. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/11363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Po-Chun. “Experience-Based Cyber Security Analytics.” 2011. Web. 02 Dec 2020.

Vancouver:

Chen P. Experience-Based Cyber Security Analytics. [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/11363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen P. Experience-Based Cyber Security Analytics. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/11363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

22. Liu, Yang. Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics.

Degree: 2015, Penn State University

 Analysis of high-dimensional data has become increasingly important in several fields of the sciences and engineering. This is particularly true for Genomics with its expanding… (more)

Subjects/Keywords: Data integration; Genomics; Ordinary least squares; Structured data; Sufficient dimension reduction; Variable selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, Y. (2015). Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Yang. “Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics.” 2015. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/26693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Yang. “Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics.” 2015. Web. 02 Dec 2020.

Vancouver:

Liu Y. Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/26693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu Y. Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

23. Wang, Chuan-Sheng. SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL.

Degree: 2018, Penn State University

 Conditional Value-at-Risk (hereafter, CVaR) and Expected Shortfall (CES) play an important role in financial risk management. Parametric CVaR and CES enjoy both nice interpretation and… (more)

Subjects/Keywords: Bootstrap; Conditional expected shortfall; Conditional Value-at-Risk; Nonlinear time series; Quantile regression; Semiparametric methods

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APA (6th Edition):

Wang, C. (2018). SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15123czw5227

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Chuan-Sheng. “SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL.” 2018. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/15123czw5227.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Chuan-Sheng. “SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL.” 2018. Web. 02 Dec 2020.

Vancouver:

Wang C. SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/15123czw5227.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang C. SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15123czw5227

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

24. Li, Zheng. Joint Modeling Recurrent Events and a Terminal Event with Frailty-copula Models.

Degree: 2018, Penn State University

 A terminal event can stop a series of recurrent events, which commonly occurs in biomedical and clinical studies. In this situation, the non-informative censoring assumption… (more)

Subjects/Keywords: Joint Frailty-copula Models; Bayesian Augmentation; Recurrent Events; Joint Frailty Model

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APA (6th Edition):

Li, Z. (2018). Joint Modeling Recurrent Events and a Terminal Event with Frailty-copula Models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15126zxl141

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Zheng. “Joint Modeling Recurrent Events and a Terminal Event with Frailty-copula Models.” 2018. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/15126zxl141.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Zheng. “Joint Modeling Recurrent Events and a Terminal Event with Frailty-copula Models.” 2018. Web. 02 Dec 2020.

Vancouver:

Li Z. Joint Modeling Recurrent Events and a Terminal Event with Frailty-copula Models. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/15126zxl141.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Z. Joint Modeling Recurrent Events and a Terminal Event with Frailty-copula Models. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15126zxl141

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

25. Zambom, Adriano Zanin. Hypothesis Testing and Variable Selection in Nonparametric Regression.

Degree: 2012, Penn State University

 Let X be a d dimensional vector of covariates and Y be the response variable. Under the nonparametric model Y = m(X) + σ(X)ε we… (more)

Subjects/Keywords: Hypothesis Testing; Variable Selection; Backward Elimination; Nonparametric Regression; False Discovery Rate; ANOVA-type tests

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APA (6th Edition):

Zambom, A. Z. (2012). Hypothesis Testing and Variable Selection in Nonparametric Regression. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14565

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zambom, Adriano Zanin. “Hypothesis Testing and Variable Selection in Nonparametric Regression.” 2012. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/14565.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zambom, Adriano Zanin. “Hypothesis Testing and Variable Selection in Nonparametric Regression.” 2012. Web. 02 Dec 2020.

Vancouver:

Zambom AZ. Hypothesis Testing and Variable Selection in Nonparametric Regression. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/14565.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zambom AZ. Hypothesis Testing and Variable Selection in Nonparametric Regression. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/14565

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

26. Liu, Siwei. Modeling Psychophysiological Processes in dyadic interactions.

Degree: 2012, Penn State University

 Psychophysiological interactions constitute an important aspect of interpersonal relationships. Although behavioral scientists often conceptualize interpersonal units (e.g., dyad, family, or group) as dynamic systems, in… (more)

Subjects/Keywords: dyadic analysis; psychophysiology; cortisol; time series; electrodermal activity

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APA (6th Edition):

Liu, S. (2012). Modeling Psychophysiological Processes in dyadic interactions. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15200

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Siwei. “Modeling Psychophysiological Processes in dyadic interactions.” 2012. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/15200.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Siwei. “Modeling Psychophysiological Processes in dyadic interactions.” 2012. Web. 02 Dec 2020.

Vancouver:

Liu S. Modeling Psychophysiological Processes in dyadic interactions. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/15200.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu S. Modeling Psychophysiological Processes in dyadic interactions. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15200

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

27. Lee, Kuang-yao. A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION.

Degree: 2012, Penn State University

 Classical sufficient dimension reduction aims at searching directions in a Euclidean space that can preserve the information about the relation between a predictor and a… (more)

Subjects/Keywords: Dimension reduction σ-field; Unbiasedness; Exhaustiveness; sliced average variance estimator; sliced inverse regression

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, K. (2012). A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15195

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Kuang-yao. “A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION.” 2012. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/15195.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Kuang-yao. “A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION.” 2012. Web. 02 Dec 2020.

Vancouver:

Lee K. A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/15195.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee K. A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15195

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

28. Yu, Guo. Use of radar Doppler spectra in Arctic mixed-phase cloud studies.

Degree: 2013, Penn State University

 Stratiform clouds across the globe frequently contain both liquid- and ice-particles within the same region of the atmosphere; that is, they are often mixed-phase clouds.… (more)

Subjects/Keywords: mixed-phase cloud; phase partitioning; radar Doppler spectra

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, G. (2013). Use of radar Doppler spectra in Arctic mixed-phase cloud studies. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19670

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Guo. “Use of radar Doppler spectra in Arctic mixed-phase cloud studies.” 2013. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/19670.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Guo. “Use of radar Doppler spectra in Arctic mixed-phase cloud studies.” 2013. Web. 02 Dec 2020.

Vancouver:

Yu G. Use of radar Doppler spectra in Arctic mixed-phase cloud studies. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/19670.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu G. Use of radar Doppler spectra in Arctic mixed-phase cloud studies. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19670

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

29. ZHU, XIAOTIAN. Non-Parametric Finite Multivariate Mixture Models with Applications.

Degree: 2014, Penn State University

 This research set out to investigate and build upon the foundation for the nonparametric estimation of finite multivariate mixture models given the conditional independence assumption,… (more)

Subjects/Keywords: mixture model; conditional independence; nonparametric estimation; penalized smoothed likelihood; independent component analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

ZHU, . X. (2014). Non-Parametric Finite Multivariate Mixture Models with Applications. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/23330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

ZHU, XIAOTIAN. “Non-Parametric Finite Multivariate Mixture Models with Applications.” 2014. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/23330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

ZHU, XIAOTIAN. “Non-Parametric Finite Multivariate Mixture Models with Applications.” 2014. Web. 02 Dec 2020.

Vancouver:

ZHU X. Non-Parametric Finite Multivariate Mixture Models with Applications. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/23330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

ZHU X. Non-Parametric Finite Multivariate Mixture Models with Applications. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/23330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

30. Subramanian, Anita. THE EFFECT OF PRENATAL VITAMIN D SUPPLEMENTATION ON MATERNAL BLOOD PRESSURE AND PLACENTAL ANGIOGENESIS IN BANGLADESH.

Degree: 2019, Penn State University

 min D deficiency has become a problem of public health concern with high prevalence rates among pregnant women especially in South Asia. Maternal vitamin D… (more)

Subjects/Keywords: Pregnancy; Vascular Endothelial Growth Factor; Placental Growth Factor; Angiogenic Factors; Vitamin D; Placental Villi; Systolic Blood Pressure; Diastolic Blood Pressure

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Subramanian, A. (2019). THE EFFECT OF PRENATAL VITAMIN D SUPPLEMENTATION ON MATERNAL BLOOD PRESSURE AND PLACENTAL ANGIOGENESIS IN BANGLADESH. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17151afs5465

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Subramanian, Anita. “THE EFFECT OF PRENATAL VITAMIN D SUPPLEMENTATION ON MATERNAL BLOOD PRESSURE AND PLACENTAL ANGIOGENESIS IN BANGLADESH.” 2019. Thesis, Penn State University. Accessed December 02, 2020. https://submit-etda.libraries.psu.edu/catalog/17151afs5465.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Subramanian, Anita. “THE EFFECT OF PRENATAL VITAMIN D SUPPLEMENTATION ON MATERNAL BLOOD PRESSURE AND PLACENTAL ANGIOGENESIS IN BANGLADESH.” 2019. Web. 02 Dec 2020.

Vancouver:

Subramanian A. THE EFFECT OF PRENATAL VITAMIN D SUPPLEMENTATION ON MATERNAL BLOOD PRESSURE AND PLACENTAL ANGIOGENESIS IN BANGLADESH. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Dec 02]. Available from: https://submit-etda.libraries.psu.edu/catalog/17151afs5465.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Subramanian A. THE EFFECT OF PRENATAL VITAMIN D SUPPLEMENTATION ON MATERNAL BLOOD PRESSURE AND PLACENTAL ANGIOGENESIS IN BANGLADESH. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17151afs5465

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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