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You searched for +publisher:"Cornell University" +contributor:("Ruppert, David"). Showing records 1 – 13 of 13 total matches.

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Cornell University

1. Liu, Yang. Nonparametric Regression and Density Estimation on a Network.

Degree: PhD, Statistics, 2020, Cornell University

 We propose nonparametric regression and density estimators on a network. A network is defined as a collection of edges that are connected by vertices. There… (more)

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APA (6th Edition):

Liu, Y. (2020). Nonparametric Regression and Density Estimation on a Network. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/103360

Chicago Manual of Style (16th Edition):

Liu, Yang. “Nonparametric Regression and Density Estimation on a Network.” 2020. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/103360.

MLA Handbook (7th Edition):

Liu, Yang. “Nonparametric Regression and Density Estimation on a Network.” 2020. Web. 21 Apr 2021.

Vancouver:

Liu Y. Nonparametric Regression and Density Estimation on a Network. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/103360.

Council of Science Editors:

Liu Y. Nonparametric Regression and Density Estimation on a Network. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/103360


Cornell University

2. Li, Yingxing. Aspects Of Penalized Splines.

Degree: PhD, Statistics, 2011, Cornell University

 Penalized splines approach has very important applications in statistics. The idea is to fit the unknown regression mean using a high-dimensional spline basis, subject to… (more)

Subjects/Keywords: P-splines; asymptotics; global inference

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APA (6th Edition):

Li, Y. (2011). Aspects Of Penalized Splines. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/33653

Chicago Manual of Style (16th Edition):

Li, Yingxing. “Aspects Of Penalized Splines.” 2011. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/33653.

MLA Handbook (7th Edition):

Li, Yingxing. “Aspects Of Penalized Splines.” 2011. Web. 21 Apr 2021.

Vancouver:

Li Y. Aspects Of Penalized Splines. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/33653.

Council of Science Editors:

Li Y. Aspects Of Penalized Splines. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/33653


Cornell University

3. Soiaporn, Kunlaya. On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics.

Degree: PhD, Operations Research, 2014, Cornell University

 This dissertation presents an approach for analyzing functional data with multiple outcomes that exhibits spatially heterogeneous shape characteristics. An example of data of this type… (more)

Subjects/Keywords: correlated functional outcomes; diffusion tensor imaging; skewed functional data

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APA (6th Edition):

Soiaporn, K. (2014). On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/36106

Chicago Manual of Style (16th Edition):

Soiaporn, Kunlaya. “On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics.” 2014. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/36106.

MLA Handbook (7th Edition):

Soiaporn, Kunlaya. “On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics.” 2014. Web. 21 Apr 2021.

Vancouver:

Soiaporn K. On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics. [Internet] [Doctoral dissertation]. Cornell University; 2014. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/36106.

Council of Science Editors:

Soiaporn K. On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics. [Doctoral Dissertation]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/36106


Cornell University

4. Xiao, Luo. Topics In Bivariate Spline Smoothing.

Degree: PhD, Statistics, 2012, Cornell University

 Penalized spline methods have been popular since the work of Eilers and Marx (1996). Recent years saw extensive theoretical studies and a wide range of… (more)

Subjects/Keywords: penalized splines; nonparametric regression; smoothing

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APA (6th Edition):

Xiao, L. (2012). Topics In Bivariate Spline Smoothing. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31092

Chicago Manual of Style (16th Edition):

Xiao, Luo. “Topics In Bivariate Spline Smoothing.” 2012. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/31092.

MLA Handbook (7th Edition):

Xiao, Luo. “Topics In Bivariate Spline Smoothing.” 2012. Web. 21 Apr 2021.

Vancouver:

Xiao L. Topics In Bivariate Spline Smoothing. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/31092.

Council of Science Editors:

Xiao L. Topics In Bivariate Spline Smoothing. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31092


Cornell University

5. Magnusson, Baldur. Targeted Therapies: Adaptive Sequential Designs For Subgroup Selection In Clinical Trials.

Degree: PhD, Operations Research, 2011, Cornell University

 A critical part of clinical trials in drug development is the analysis of treatment efficacy in patient subgroups (subpopulations). Due to multiplicity and the small… (more)

Subjects/Keywords: Clinical trial design; Subgroup selection; Multiple comparison procedures

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APA (6th Edition):

Magnusson, B. (2011). Targeted Therapies: Adaptive Sequential Designs For Subgroup Selection In Clinical Trials. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29238

Chicago Manual of Style (16th Edition):

Magnusson, Baldur. “Targeted Therapies: Adaptive Sequential Designs For Subgroup Selection In Clinical Trials.” 2011. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/29238.

MLA Handbook (7th Edition):

Magnusson, Baldur. “Targeted Therapies: Adaptive Sequential Designs For Subgroup Selection In Clinical Trials.” 2011. Web. 21 Apr 2021.

Vancouver:

Magnusson B. Targeted Therapies: Adaptive Sequential Designs For Subgroup Selection In Clinical Trials. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/29238.

Council of Science Editors:

Magnusson B. Targeted Therapies: Adaptive Sequential Designs For Subgroup Selection In Clinical Trials. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29238


Cornell University

6. Kim, Sungjin. ESSAYS ON BAYESIAN ANALYSES FOR BETTER MARKETING AND A BETTER WORLD.

Degree: PhD, Management, 2020, Cornell University

 In the first chapter, the authors propose a new Bayesian synthetic control framework to overcome limitations of extant synthetic control methods (SCMs). The proposed Bayesian… (more)

Subjects/Keywords: Bayesian Estimation; Charitable Giving; Nonprofit; Soda Tax; Synthetic Control; Treatment Effect

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APA (6th Edition):

Kim, S. (2020). ESSAYS ON BAYESIAN ANALYSES FOR BETTER MARKETING AND A BETTER WORLD. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/102934

Chicago Manual of Style (16th Edition):

Kim, Sungjin. “ESSAYS ON BAYESIAN ANALYSES FOR BETTER MARKETING AND A BETTER WORLD.” 2020. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/102934.

MLA Handbook (7th Edition):

Kim, Sungjin. “ESSAYS ON BAYESIAN ANALYSES FOR BETTER MARKETING AND A BETTER WORLD.” 2020. Web. 21 Apr 2021.

Vancouver:

Kim S. ESSAYS ON BAYESIAN ANALYSES FOR BETTER MARKETING AND A BETTER WORLD. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/102934.

Council of Science Editors:

Kim S. ESSAYS ON BAYESIAN ANALYSES FOR BETTER MARKETING AND A BETTER WORLD. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/102934


Cornell University

7. Maxwell, Matthew. Approximate Dynamic Programming Policies And Performance Bounds For Ambulance Redeployment.

Degree: PhD, Operations Research, 2011, Cornell University

 Ambulance redeployment is the practice of dynamically relocating idle ambulances based upon real-time information to reduce expected response times for future emergency calls. Ambulance redeployment… (more)

Subjects/Keywords: emergency services; approximate dynamic programming; post-decision state

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APA (6th Edition):

Maxwell, M. (2011). Approximate Dynamic Programming Policies And Performance Bounds For Ambulance Redeployment. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/29425

Chicago Manual of Style (16th Edition):

Maxwell, Matthew. “Approximate Dynamic Programming Policies And Performance Bounds For Ambulance Redeployment.” 2011. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/29425.

MLA Handbook (7th Edition):

Maxwell, Matthew. “Approximate Dynamic Programming Policies And Performance Bounds For Ambulance Redeployment.” 2011. Web. 21 Apr 2021.

Vancouver:

Maxwell M. Approximate Dynamic Programming Policies And Performance Bounds For Ambulance Redeployment. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/29425.

Council of Science Editors:

Maxwell M. Approximate Dynamic Programming Policies And Performance Bounds For Ambulance Redeployment. [Doctoral Dissertation]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29425


Cornell University

8. Steingrimsson, Jon. Information Recovery With Missing Data When Outcomes Are Right Censored.

Degree: PhD, Statistics, 2015, Cornell University

 This dissertation focuses on utilizing information more efficiently in several settings when some observations are right-censored using the semiparametric efficiency theory developed in Robins et… (more)

Subjects/Keywords: Missing Data; Semiparametric Theory; Censored Data

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APA (6th Edition):

Steingrimsson, J. (2015). Information Recovery With Missing Data When Outcomes Are Right Censored. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/41100

Chicago Manual of Style (16th Edition):

Steingrimsson, Jon. “Information Recovery With Missing Data When Outcomes Are Right Censored.” 2015. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/41100.

MLA Handbook (7th Edition):

Steingrimsson, Jon. “Information Recovery With Missing Data When Outcomes Are Right Censored.” 2015. Web. 21 Apr 2021.

Vancouver:

Steingrimsson J. Information Recovery With Missing Data When Outcomes Are Right Censored. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/41100.

Council of Science Editors:

Steingrimsson J. Information Recovery With Missing Data When Outcomes Are Right Censored. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41100


Cornell University

9. Zhu, Liao. The Adaptive Multi-Factor Model and the Financial Market.

Degree: PhD, Statistics, 2020, Cornell University

 Modern evolvements of the technologies have been leading to a profound influence on the financial market. The introduction of constituents like Exchange-Traded Funds, and the… (more)

Subjects/Keywords: AMF model; Asset pricing; GIBS algorithm; high-dimensional statistics; low-volatility anomaly; machine learning

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APA (6th Edition):

Zhu, L. (2020). The Adaptive Multi-Factor Model and the Financial Market. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70419

Chicago Manual of Style (16th Edition):

Zhu, Liao. “The Adaptive Multi-Factor Model and the Financial Market.” 2020. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/70419.

MLA Handbook (7th Edition):

Zhu, Liao. “The Adaptive Multi-Factor Model and the Financial Market.” 2020. Web. 21 Apr 2021.

Vancouver:

Zhu L. The Adaptive Multi-Factor Model and the Financial Market. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/70419.

Council of Science Editors:

Zhu L. The Adaptive Multi-Factor Model and the Financial Market. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/70419


Cornell University

10. McLean, Mathew. On Generalized Additive Models For Regression With Functional Data.

Degree: PhD, Operations Research, 2013, Cornell University

 The focus of this dissertation is the introduction of the functional generalized additive model (FGAM), a novel regression model for association studies between a scalar… (more)

Subjects/Keywords: Functional data analysis; Generalized additive models; Scalar on function regression

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APA (6th Edition):

McLean, M. (2013). On Generalized Additive Models For Regression With Functional Data. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/34323

Chicago Manual of Style (16th Edition):

McLean, Mathew. “On Generalized Additive Models For Regression With Functional Data.” 2013. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/34323.

MLA Handbook (7th Edition):

McLean, Mathew. “On Generalized Additive Models For Regression With Functional Data.” 2013. Web. 21 Apr 2021.

Vancouver:

McLean M. On Generalized Additive Models For Regression With Functional Data. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/34323.

Council of Science Editors:

McLean M. On Generalized Additive Models For Regression With Functional Data. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34323

11. Risk, Benjamin. Topics In Independent Component Analysis, Likelihood Component Analysis, And Spatiotemporal Mixed Modeling.

Degree: PhD, Statistics, 2015, Cornell University

 This dissertation explores dependence patterns using a range of statistical methods: from estimating latent factors in multivariate analysis to mixed modeling of spatially and temporally… (more)

Subjects/Keywords: dimension reduction; spatiotemporal dependence; functional magnetic resonance imaging

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APA (6th Edition):

Risk, B. (2015). Topics In Independent Component Analysis, Likelihood Component Analysis, And Spatiotemporal Mixed Modeling. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/41072

Chicago Manual of Style (16th Edition):

Risk, Benjamin. “Topics In Independent Component Analysis, Likelihood Component Analysis, And Spatiotemporal Mixed Modeling.” 2015. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/41072.

MLA Handbook (7th Edition):

Risk, Benjamin. “Topics In Independent Component Analysis, Likelihood Component Analysis, And Spatiotemporal Mixed Modeling.” 2015. Web. 21 Apr 2021.

Vancouver:

Risk B. Topics In Independent Component Analysis, Likelihood Component Analysis, And Spatiotemporal Mixed Modeling. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/41072.

Council of Science Editors:

Risk B. Topics In Independent Component Analysis, Likelihood Component Analysis, And Spatiotemporal Mixed Modeling. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41072

12. Jin, Ze. Measuring Statistical Dependence and Its Applications in Machine Learning.

Degree: PhD, Statistics, 2018, Cornell University

 My PhD research focuses on measuring and testing mutual dependence and conditional mean dependence, and applying it to Machine Learning problems, which is elaborated in… (more)

Subjects/Keywords: Statistics; Mathematics; Computer science; conditional mean independence; independent component analysis; linear non-Gaussian component analysis; multivariate analysis; mutual independence; V-statistics

…and Cornell University Atkinson Center for a Sustainable Future (AVF-2017)… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th Edition):

Jin, Z. (2018). Measuring Statistical Dependence and Its Applications in Machine Learning. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/59677

Chicago Manual of Style (16th Edition):

Jin, Ze. “Measuring Statistical Dependence and Its Applications in Machine Learning.” 2018. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/59677.

MLA Handbook (7th Edition):

Jin, Ze. “Measuring Statistical Dependence and Its Applications in Machine Learning.” 2018. Web. 21 Apr 2021.

Vancouver:

Jin Z. Measuring Statistical Dependence and Its Applications in Machine Learning. [Internet] [Doctoral dissertation]. Cornell University; 2018. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/59677.

Council of Science Editors:

Jin Z. Measuring Statistical Dependence and Its Applications in Machine Learning. [Doctoral Dissertation]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59677

13. Kowal, Daniel Ryan. Bayesian Methods for Functional and Time Series Data.

Degree: PhD, Statistics, 2017, Cornell University

 We introduce new Bayesian methodology for modeling functional and time series data. While broadly applicable, the methodology focuses on the challenging cases in which (1)… (more)

Subjects/Keywords: Gaussian Process; Hierarchical Bayes; Yield Curve; Finance; Statistics; Dynamic Linear Model; Factor Model

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APA (6th Edition):

Kowal, D. R. (2017). Bayesian Methods for Functional and Time Series Data. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/56965

Chicago Manual of Style (16th Edition):

Kowal, Daniel Ryan. “Bayesian Methods for Functional and Time Series Data.” 2017. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/56965.

MLA Handbook (7th Edition):

Kowal, Daniel Ryan. “Bayesian Methods for Functional and Time Series Data.” 2017. Web. 21 Apr 2021.

Vancouver:

Kowal DR. Bayesian Methods for Functional and Time Series Data. [Internet] [Doctoral dissertation]. Cornell University; 2017. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/56965.

Council of Science Editors:

Kowal DR. Bayesian Methods for Functional and Time Series Data. [Doctoral Dissertation]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56965

.