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You searched for +publisher:"Texas A&M University" +contributor:("Liang, Faming"). Showing records 1 – 30 of 32 total matches.

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Texas A&M University

1. Jeong, Jae Sik. Some applications of wavelets to time series data.

Degree: 2009, Texas A&M University

 The objective of this dissertation is to develop a suitable statistical methodology for parameter estimation in long memory process. Time series data with complex covariance… (more)

Subjects/Keywords: wavelets; time series

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APA (6th Edition):

Jeong, J. S. (2009). Some applications of wavelets to time series data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3074

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):

Jeong, Jae Sik. “Some applications of wavelets to time series data.” 2009. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-3074.

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

MLA Handbook (7th Edition):

Jeong, Jae Sik. “Some applications of wavelets to time series data.” 2009. Web. 18 Sep 2019.

Vancouver:

Jeong JS. Some applications of wavelets to time series data. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3074.

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

Council of Science Editors:

Jeong JS. Some applications of wavelets to time series data. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3074

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


Texas A&M University

2. Lee, Sang Han. Estimating and testing of functional data with restrictions.

Degree: 2009, Texas A&M University

 The objective of this dissertation is to develop a suitable statistical methodology for functional data analysis. Modern advanced technology allows researchers to collect samples as… (more)

Subjects/Keywords: functional data; curve testing; non-negative matrix factorization

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APA (6th Edition):

Lee, S. H. (2009). Estimating and testing of functional data with restrictions. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1626

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, Sang Han. “Estimating and testing of functional data with restrictions.” 2009. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1626.

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

MLA Handbook (7th Edition):

Lee, Sang Han. “Estimating and testing of functional data with restrictions.” 2009. Web. 18 Sep 2019.

Vancouver:

Lee SH. Estimating and testing of functional data with restrictions. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1626.

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

Council of Science Editors:

Lee SH. Estimating and testing of functional data with restrictions. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1626

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


Texas A&M University

3. Wu, Mingqi. Population SAMC, ChIP-chip Data Analysis and Beyond.

Degree: 2011, Texas A&M University

 This dissertation research consists of two topics, population stochastics approximation Monte Carlo (Pop-SAMC) for Baysian model selection problems and ChIP-chip data analysis. The following two… (more)

Subjects/Keywords: Markov Chain Monte Carlo; Stochastic Approximation; Metropolis-Hastings Algorithm; Bayesian Model Selection; ChIP-chip; Latent Variable; Multiple Hypothesis Test

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APA (6th Edition):

Wu, M. (2011). Population SAMC, ChIP-chip Data Analysis and Beyond. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752

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):

Wu, Mingqi. “Population SAMC, ChIP-chip Data Analysis and Beyond.” 2011. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752.

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

MLA Handbook (7th Edition):

Wu, Mingqi. “Population SAMC, ChIP-chip Data Analysis and Beyond.” 2011. Web. 18 Sep 2019.

Vancouver:

Wu M. Population SAMC, ChIP-chip Data Analysis and Beyond. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752.

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

Council of Science Editors:

Wu M. Population SAMC, ChIP-chip Data Analysis and Beyond. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752

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


Texas A&M University

4. Park, Jincheol. Bayesian Analysis for Large Spatial Data.

Degree: 2012, Texas A&M University

 The Gaussian geostatistical model has been widely used in Bayesian modeling of spatial data. A core difficulty for this model is at inverting the n… (more)

Subjects/Keywords: Gaussian Random Field; Kriging; Markov Chain Monte Carlo (MCMC); Markov Random Field; Matrix Inversion; Spatial Data

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APA (6th Edition):

Park, J. (2012). Bayesian Analysis for Large Spatial Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425

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):

Park, Jincheol. “Bayesian Analysis for Large Spatial Data.” 2012. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425.

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

MLA Handbook (7th Edition):

Park, Jincheol. “Bayesian Analysis for Large Spatial Data.” 2012. Web. 18 Sep 2019.

Vancouver:

Park J. Bayesian Analysis for Large Spatial Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425.

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

Council of Science Editors:

Park J. Bayesian Analysis for Large Spatial Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425

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


Texas A&M University

5. Sharda, Bikram. Robust manufacturing system design using petri nets and bayesian methods.

Degree: 2008, Texas A&M University

 Manufacturing system design decisions are costly and involve significant investment in terms of allocation of resources. These decisions are complex, due to uncertainties related to… (more)

Subjects/Keywords: Petri nets; manufacturing systems; Bayesian methods; Robust design

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APA (6th Edition):

Sharda, B. (2008). Robust manufacturing system design using petri nets and bayesian methods. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/85935

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):

Sharda, Bikram. “Robust manufacturing system design using petri nets and bayesian methods.” 2008. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/85935.

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

MLA Handbook (7th Edition):

Sharda, Bikram. “Robust manufacturing system design using petri nets and bayesian methods.” 2008. Web. 18 Sep 2019.

Vancouver:

Sharda B. Robust manufacturing system design using petri nets and bayesian methods. [Internet] [Thesis]. Texas A&M University; 2008. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/85935.

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

Council of Science Editors:

Sharda B. Robust manufacturing system design using petri nets and bayesian methods. [Thesis]. Texas A&M University; 2008. Available from: http://hdl.handle.net/1969.1/85935

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


Texas A&M University

6. Ren, Yuan. Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems.

Degree: 2010, Texas A&M University

 This dissertation presents an algorithm to solve optimization problems with "black-box" objective functions, i.e., functions that can only be evaluated by running a computer program.… (more)

Subjects/Keywords: Heuristic Optimization; Adaptive MCMC; Data mining

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APA (6th Edition):

Ren, Y. (2010). Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84

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):

Ren, Yuan. “Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems.” 2010. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84.

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

MLA Handbook (7th Edition):

Ren, Yuan. “Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems.” 2010. Web. 18 Sep 2019.

Vancouver:

Ren Y. Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84.

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

Council of Science Editors:

Ren Y. Adaptive Evolutionary Monte Carlo for Heuristic Optimization: With Applications to Sensor Placement Problems. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2008-12-84

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


Texas A&M University

7. Cheng, Yichen. Stochastic Approximation and Its Application in MCMC.

Degree: 2013, Texas A&M University

 Stochastic approximation has been widely used since first proposed by Herbert Robbins and Sutton Monro in 1951. It is an iterative stochastic method that attempts… (more)

Subjects/Keywords: stochastic approximation

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APA (6th Edition):

Cheng, Y. (2013). Stochastic Approximation and Its Application in MCMC. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151016

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):

Cheng, Yichen. “Stochastic Approximation and Its Application in MCMC.” 2013. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/151016.

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

MLA Handbook (7th Edition):

Cheng, Yichen. “Stochastic Approximation and Its Application in MCMC.” 2013. Web. 18 Sep 2019.

Vancouver:

Cheng Y. Stochastic Approximation and Its Application in MCMC. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/151016.

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

Council of Science Editors:

Cheng Y. Stochastic Approximation and Its Application in MCMC. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151016

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


Texas A&M University

8. Yi, Bingqi. Radiative Effects of Dust Aerosols, Natural Cirrus Clouds and Contrails: Broadband Optical Properties and Sensitivity Studies.

Degree: 2013, Texas A&M University

 This dissertation aims to study the broadband optical properties and radiative effects of dust aerosols and ice clouds. It covers three main topics: the uncertainty… (more)

Subjects/Keywords: Aerosol and cloud radiative effects; Natural cirrus clouds; Contrails; Broadband optical properties; Parameterization; Dust aerosols

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APA (6th Edition):

Yi, B. (2013). Radiative Effects of Dust Aerosols, Natural Cirrus Clouds and Contrails: Broadband Optical Properties and Sensitivity Studies. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151136

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):

Yi, Bingqi. “Radiative Effects of Dust Aerosols, Natural Cirrus Clouds and Contrails: Broadband Optical Properties and Sensitivity Studies.” 2013. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/151136.

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

MLA Handbook (7th Edition):

Yi, Bingqi. “Radiative Effects of Dust Aerosols, Natural Cirrus Clouds and Contrails: Broadband Optical Properties and Sensitivity Studies.” 2013. Web. 18 Sep 2019.

Vancouver:

Yi B. Radiative Effects of Dust Aerosols, Natural Cirrus Clouds and Contrails: Broadband Optical Properties and Sensitivity Studies. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/151136.

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

Council of Science Editors:

Yi B. Radiative Effects of Dust Aerosols, Natural Cirrus Clouds and Contrails: Broadband Optical Properties and Sensitivity Studies. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151136

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


Texas A&M University

9. Zou, Yajie. A Multivariate Analysis of Freeway Speed and Headway Data.

Degree: 2013, Texas A&M University

 The knowledge of speed and headway distributions is essential in microscopic traffic flow studies because speed and headway are both fundamental microscopic characteristics of traffic… (more)

Subjects/Keywords: Speed; headway

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APA (6th Edition):

Zou, Y. (2013). A Multivariate Analysis of Freeway Speed and Headway Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151809

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):

Zou, Yajie. “A Multivariate Analysis of Freeway Speed and Headway Data.” 2013. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/151809.

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

MLA Handbook (7th Edition):

Zou, Yajie. “A Multivariate Analysis of Freeway Speed and Headway Data.” 2013. Web. 18 Sep 2019.

Vancouver:

Zou Y. A Multivariate Analysis of Freeway Speed and Headway Data. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/151809.

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

Council of Science Editors:

Zou Y. A Multivariate Analysis of Freeway Speed and Headway Data. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151809

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


Texas A&M University

10. De, Debkumar. Essays on Bayesian Time Series and Variable Selection.

Degree: 2014, Texas A&M University

 Estimating model parameters in dynamic model continues to be challenge. In my dissertation, we have introduced a Stochastic Approximation based parameter estimation approach under Ensemble… (more)

Subjects/Keywords: Ensemble Kalman Filter; Stochastic Approximation; Non-parametric Regression; Matrix variate regression; Variable selection

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APA (6th Edition):

De, D. (2014). Essays on Bayesian Time Series and Variable Selection. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152793

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):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/152793.

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

MLA Handbook (7th Edition):

De, Debkumar. “Essays on Bayesian Time Series and Variable Selection.” 2014. Web. 18 Sep 2019.

Vancouver:

De D. Essays on Bayesian Time Series and Variable Selection. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/152793.

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

Council of Science Editors:

De D. Essays on Bayesian Time Series and Variable Selection. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152793

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


Texas A&M University

11. Pourhabib, Arash. Gaussian Process Modeling and Computation in Engineering Applications.

Degree: 2014, Texas A&M University

 Big Data refers to the complexity, high-dimensionality, and high volume of information which are common features in many contemporary engineering applications. In the context of… (more)

Subjects/Keywords: Gaussian processes; Multi-fidelity analysis; Spatial-temporal modeling

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APA (6th Edition):

Pourhabib, A. (2014). Gaussian Process Modeling and Computation in Engineering Applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153314

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):

Pourhabib, Arash. “Gaussian Process Modeling and Computation in Engineering Applications.” 2014. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/153314.

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

MLA Handbook (7th Edition):

Pourhabib, Arash. “Gaussian Process Modeling and Computation in Engineering Applications.” 2014. Web. 18 Sep 2019.

Vancouver:

Pourhabib A. Gaussian Process Modeling and Computation in Engineering Applications. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/153314.

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

Council of Science Editors:

Pourhabib A. Gaussian Process Modeling and Computation in Engineering Applications. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153314

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


Texas A&M University

12. Lin, Fang-Yu. Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data.

Degree: 2014, Texas A&M University

 Modeling and mining with massive volumes of data have become popular in recent decades. However, it is difficult to analyze on a single commodity computer… (more)

Subjects/Keywords: Stochastic Approximation Monte Carlo; Parallel Computation; MCMC; Big Data

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APA (6th Edition):

Lin, F. (2014). Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153814

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, Fang-Yu. “Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data.” 2014. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/153814.

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

MLA Handbook (7th Edition):

Lin, Fang-Yu. “Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data.” 2014. Web. 18 Sep 2019.

Vancouver:

Lin F. Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/153814.

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

Council of Science Editors:

Lin F. Combining Strategies for Parallel Stochastic Approximation Monte Carlo Algorithm of Big Data. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153814

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


Texas A&M University

13. Kim, Jinsu. A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.

Degree: PhD, Statistics, 2014, Texas A&M University

 Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their compute-intensive nature, which… (more)

Subjects/Keywords: Bayesian analysis; Big data; Markov chain Monte Carlo; Metropolis Hastings algorithm; Parallel computing; Bootstrap; Sub-sampling

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APA (6th Edition):

Kim, J. (2014). A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174185

Chicago Manual of Style (16th Edition):

Kim, Jinsu. “A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.” 2014. Doctoral Dissertation, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/174185.

MLA Handbook (7th Edition):

Kim, Jinsu. “A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.” 2014. Web. 18 Sep 2019.

Vancouver:

Kim J. A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/174185.

Council of Science Editors:

Kim J. A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/174185


Texas A&M University

14. Gold, David L. Bayesian learning in bioinformatics.

Degree: 2009, Texas A&M University

 Life sciences research is advancing in breadth and scope, affecting many areas of life including medical care and government policy. The field of Bioinformatics, in… (more)

Subjects/Keywords: Bayesian; Bioinformatics

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APA (6th Edition):

Gold, D. L. (2009). Bayesian learning in bioinformatics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1624

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):

Gold, David L. “Bayesian learning in bioinformatics.” 2009. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1624.

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

MLA Handbook (7th Edition):

Gold, David L. “Bayesian learning in bioinformatics.” 2009. Web. 18 Sep 2019.

Vancouver:

Gold DL. Bayesian learning in bioinformatics. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1624.

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

Council of Science Editors:

Gold DL. Bayesian learning in bioinformatics. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1624

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


Texas A&M University

15. Li, Yue. Investigation of the Dynamical, Macrophysical and Radiative Properties of High Clouds Combining Satellite Observations and Climate Model Simulations.

Degree: 2012, Texas A&M University

 This dissertation investigates three topics concerning high clouds: 1) convectively coupled equatorial wave (CCEW) signals derived from cloud top temperature (CTT) and cirrus optical thickness… (more)

Subjects/Keywords: high clouds; climate change

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APA (6th Edition):

Li, Y. (2012). Investigation of the Dynamical, Macrophysical and Radiative Properties of High Clouds Combining Satellite Observations and Climate Model Simulations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10453

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, Yue. “Investigation of the Dynamical, Macrophysical and Radiative Properties of High Clouds Combining Satellite Observations and Climate Model Simulations.” 2012. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10453.

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

MLA Handbook (7th Edition):

Li, Yue. “Investigation of the Dynamical, Macrophysical and Radiative Properties of High Clouds Combining Satellite Observations and Climate Model Simulations.” 2012. Web. 18 Sep 2019.

Vancouver:

Li Y. Investigation of the Dynamical, Macrophysical and Radiative Properties of High Clouds Combining Satellite Observations and Climate Model Simulations. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10453.

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

Council of Science Editors:

Li Y. Investigation of the Dynamical, Macrophysical and Radiative Properties of High Clouds Combining Satellite Observations and Climate Model Simulations. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10453

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


Texas A&M University

16. Wang, Qi. Frequentist-Bayes Goodness-of-fit Tests.

Degree: 2012, Texas A&M University

 In this dissertation, the classical problems of testing goodness-of-fit of uniformity and parametric families are reconsidered. A new omnibus test for these problems is proposed… (more)

Subjects/Keywords: Goodness-of-fit tests; Laplace approximation; Score tests; Orthonormal functions; Asymptotic distribution

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APA (6th Edition):

Wang, Q. (2012). Frequentist-Bayes Goodness-of-fit Tests. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9846

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, Qi. “Frequentist-Bayes Goodness-of-fit Tests.” 2012. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9846.

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

MLA Handbook (7th Edition):

Wang, Qi. “Frequentist-Bayes Goodness-of-fit Tests.” 2012. Web. 18 Sep 2019.

Vancouver:

Wang Q. Frequentist-Bayes Goodness-of-fit Tests. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9846.

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

Council of Science Editors:

Wang Q. Frequentist-Bayes Goodness-of-fit Tests. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9846

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


Texas A&M University

17. Wang, Yiyi. Statistical Models for Next Generation Sequencing Data.

Degree: 2013, Texas A&M University

 Three statistical models are developed to address problems in Next-Generation Sequencing data. The first two models are designed for RNA-Seq data and the third is… (more)

Subjects/Keywords: next generation sequencing; Bayesian nonparametrics; Gene Ontology; MCMC

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APA (6th Edition):

Wang, Y. (2013). Statistical Models for Next Generation Sequencing Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149412

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, Yiyi. “Statistical Models for Next Generation Sequencing Data.” 2013. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/149412.

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

MLA Handbook (7th Edition):

Wang, Yiyi. “Statistical Models for Next Generation Sequencing Data.” 2013. Web. 18 Sep 2019.

Vancouver:

Wang Y. Statistical Models for Next Generation Sequencing Data. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/149412.

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

Council of Science Editors:

Wang Y. Statistical Models for Next Generation Sequencing Data. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149412

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


Texas A&M University

18. Jin, Ick Hoon. Statistical Inference for Models with Intractable Normalizing Constants.

Degree: 2011, Texas A&M University

 In this dissertation, we have proposed two new algorithms for statistical inference for models with intractable normalizing constants: the Monte Carlo Metropolis-Hastings algorithm and the… (more)

Subjects/Keywords: Autulogistic Model; Ising Model; Stochastic Approximation Monte Carlo; Exponential Random Graph Models; Markov Chain Monte Carlo; Intractable Normalizing Constants

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APA (6th Edition):

Jin, I. H. (2011). Statistical Inference for Models with Intractable Normalizing Constants. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/150938

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):

Jin, Ick Hoon. “Statistical Inference for Models with Intractable Normalizing Constants.” 2011. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/150938.

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

MLA Handbook (7th Edition):

Jin, Ick Hoon. “Statistical Inference for Models with Intractable Normalizing Constants.” 2011. Web. 18 Sep 2019.

Vancouver:

Jin IH. Statistical Inference for Models with Intractable Normalizing Constants. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/150938.

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

Council of Science Editors:

Jin IH. Statistical Inference for Models with Intractable Normalizing Constants. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/150938

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


Texas A&M University

19. Song, Qifan. Variable Selection for Ultra High Dimensional Data.

Degree: 2014, Texas A&M University

 Variable selection plays an important role for the high dimensional data analysis. In this work, we first propose a Bayesian variable selection approach for ultra-high… (more)

Subjects/Keywords: High Dimensional Variable Selection; Big Data; Penalized Likelihood Approach; Posterior Consistency

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

APA (6th Edition):

Song, Q. (2014). Variable Selection for Ultra High Dimensional Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153224

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, Qifan. “Variable Selection for Ultra High Dimensional Data.” 2014. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/153224.

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

MLA Handbook (7th Edition):

Song, Qifan. “Variable Selection for Ultra High Dimensional Data.” 2014. Web. 18 Sep 2019.

Vancouver:

Song Q. Variable Selection for Ultra High Dimensional Data. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/153224.

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

Council of Science Editors:

Song Q. Variable Selection for Ultra High Dimensional Data. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153224

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

20. Zhang, Xuesong. Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model.

Degree: 2009, Texas A&M University

 This study focuses on developing and evaluating efficient and effective parameter calibration and uncertainty methods for hydrologic modeling. Five single objective optimization algorithms and six… (more)

Subjects/Keywords: Parameter optimization; uncertainty analysis; hydrologic modeling; computational intensive

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APA (6th Edition):

Zhang, X. (2009). Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3091

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):

Zhang, Xuesong. “Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model.” 2009. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-3091.

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

MLA Handbook (7th Edition):

Zhang, Xuesong. “Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model.” 2009. Web. 18 Sep 2019.

Vancouver:

Zhang X. Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3091.

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

Council of Science Editors:

Zhang X. Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3091

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

21. Dasgupta, Sumantra. Multi-objective stochastic path planning.

Degree: 2009, Texas A&M University

 The present research formulates the path planning as an optimization problem with multiple objectives and stochastic edge parameters. The first section introduces different variants of… (more)

Subjects/Keywords: Multiobjective; Stochastic

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APA (6th Edition):

Dasgupta, S. (2009). Multi-objective stochastic path planning. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2755

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):

Dasgupta, Sumantra. “Multi-objective stochastic path planning.” 2009. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2755.

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

MLA Handbook (7th Edition):

Dasgupta, Sumantra. “Multi-objective stochastic path planning.” 2009. Web. 18 Sep 2019.

Vancouver:

Dasgupta S. Multi-objective stochastic path planning. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2755.

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

Council of Science Editors:

Dasgupta S. Multi-objective stochastic path planning. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2755

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

22. Ye, Zhirui. Speed estimation using single loop detector outputs.

Degree: 2009, Texas A&M University

 Flow speed describes general traffic operation conditions on a segment of roadway. It is also used to diagnose special conditions such as congestion and incidents.… (more)

Subjects/Keywords: Speed estimation; single loop detectors

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APA (6th Edition):

Ye, Z. (2009). Speed estimation using single loop detector outputs. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2051

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):

Ye, Zhirui. “Speed estimation using single loop detector outputs.” 2009. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2051.

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

MLA Handbook (7th Edition):

Ye, Zhirui. “Speed estimation using single loop detector outputs.” 2009. Web. 18 Sep 2019.

Vancouver:

Ye Z. Speed estimation using single loop detector outputs. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2051.

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

Council of Science Editors:

Ye Z. Speed estimation using single loop detector outputs. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2051

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

23. Tanner, Matthew W. New Solution Methods for Joint Chance-Constrained Stochastic Programs with Random Left-Hand Sides.

Degree: 2010, Texas A&M University

 We consider joint chance-constrained programs with random lefthand sides. The motivation of this project is that this class of problem has many important applications, but… (more)

Subjects/Keywords: stochastic programming; chance constraints; probabilistic constraints; vaccine allocations

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APA (6th Edition):

Tanner, M. W. (2010). New Solution Methods for Joint Chance-Constrained Stochastic Programs with Random Left-Hand Sides. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-404

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):

Tanner, Matthew W. “New Solution Methods for Joint Chance-Constrained Stochastic Programs with Random Left-Hand Sides.” 2010. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-404.

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

MLA Handbook (7th Edition):

Tanner, Matthew W. “New Solution Methods for Joint Chance-Constrained Stochastic Programs with Random Left-Hand Sides.” 2010. Web. 18 Sep 2019.

Vancouver:

Tanner MW. New Solution Methods for Joint Chance-Constrained Stochastic Programs with Random Left-Hand Sides. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-404.

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

Council of Science Editors:

Tanner MW. New Solution Methods for Joint Chance-Constrained Stochastic Programs with Random Left-Hand Sides. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-404

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

24. Yang, Jui-Chung. Estimation and Inference under Weak Identification and Persistence: An Application to Forecast-Based Monetary Policy Reaction Function.

Degree: 2014, Texas A&M University

 The reaction coefficients of expected inflations and output gaps in the forecast-based monetary policy reaction function may be merely weakly identified when the smoothing coefficient… (more)

Subjects/Keywords: asymptotic size; confidence set; monetary policy reaction function; near unit root; real-time data; weak identification

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APA (6th Edition):

Yang, J. (2014). Estimation and Inference under Weak Identification and Persistence: An Application to Forecast-Based Monetary Policy Reaction Function. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153566

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):

Yang, Jui-Chung. “Estimation and Inference under Weak Identification and Persistence: An Application to Forecast-Based Monetary Policy Reaction Function.” 2014. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/153566.

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

MLA Handbook (7th Edition):

Yang, Jui-Chung. “Estimation and Inference under Weak Identification and Persistence: An Application to Forecast-Based Monetary Policy Reaction Function.” 2014. Web. 18 Sep 2019.

Vancouver:

Yang J. Estimation and Inference under Weak Identification and Persistence: An Application to Forecast-Based Monetary Policy Reaction Function. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/153566.

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

Council of Science Editors:

Yang J. Estimation and Inference under Weak Identification and Persistence: An Application to Forecast-Based Monetary Policy Reaction Function. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153566

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

25. Zhu, Kehui. Predicting the Texas Windstorm Insurance Association Payout for Commercial Property Loss Due to Ike Based on Weather, Geographical, and Building Variables.

Degree: 2013, Texas A&M University

 Hurricanes cause enormous loss to life and property worldwide. Predicting the damage caused by hurricane and figuring out what factors are responsible for the damage… (more)

Subjects/Keywords: Texas Windstorm Insurance Association; Hurricane Ike

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APA (6th Edition):

Zhu, K. (2013). Predicting the Texas Windstorm Insurance Association Payout for Commercial Property Loss Due to Ike Based on Weather, Geographical, and Building Variables. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149452

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, Kehui. “Predicting the Texas Windstorm Insurance Association Payout for Commercial Property Loss Due to Ike Based on Weather, Geographical, and Building Variables.” 2013. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/149452.

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

MLA Handbook (7th Edition):

Zhu, Kehui. “Predicting the Texas Windstorm Insurance Association Payout for Commercial Property Loss Due to Ike Based on Weather, Geographical, and Building Variables.” 2013. Web. 18 Sep 2019.

Vancouver:

Zhu K. Predicting the Texas Windstorm Insurance Association Payout for Commercial Property Loss Due to Ike Based on Weather, Geographical, and Building Variables. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/149452.

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

Council of Science Editors:

Zhu K. Predicting the Texas Windstorm Insurance Association Payout for Commercial Property Loss Due to Ike Based on Weather, Geographical, and Building Variables. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149452

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

26. Wei, Jiawei. Secondary Analysis of Case-Control Studies in Genomic Contexts.

Degree: 2011, Texas A&M University

 This dissertation consists of five independent projects. In each project, a novel statistical method was developed to address a practical problem encountered in genomic contexts.… (more)

Subjects/Keywords: Semiparametric Regression; Case-Control; Score Test; Model Selection; Classification

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APA (6th Edition):

Wei, J. (2011). Secondary Analysis of Case-Control Studies in Genomic Contexts. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269

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):

Wei, Jiawei. “Secondary Analysis of Case-Control Studies in Genomic Contexts.” 2011. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269.

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

MLA Handbook (7th Edition):

Wei, Jiawei. “Secondary Analysis of Case-Control Studies in Genomic Contexts.” 2011. Web. 18 Sep 2019.

Vancouver:

Wei J. Secondary Analysis of Case-Control Studies in Genomic Contexts. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269.

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

Council of Science Editors:

Wei J. Secondary Analysis of Case-Control Studies in Genomic Contexts. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8269

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

27. Maadooliat, Mehdi. Dimension Reduction and Covariance Structure for Multivariate Data, Beyond Gaussian Assumption.

Degree: 2012, Texas A&M University

 Storage and analysis of high-dimensional datasets are always challenging. Dimension reduction techniques are commonly used to reduce the complexity of the data and obtain the… (more)

Subjects/Keywords: Correlation modelling; Functional PCA; Missing data; PCA; Profile likelihood; Transformation model

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APA (6th Edition):

Maadooliat, M. (2012). Dimension Reduction and Covariance Structure for Multivariate Data, Beyond Gaussian Assumption. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9731

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):

Maadooliat, Mehdi. “Dimension Reduction and Covariance Structure for Multivariate Data, Beyond Gaussian Assumption.” 2012. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9731.

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

MLA Handbook (7th Edition):

Maadooliat, Mehdi. “Dimension Reduction and Covariance Structure for Multivariate Data, Beyond Gaussian Assumption.” 2012. Web. 18 Sep 2019.

Vancouver:

Maadooliat M. Dimension Reduction and Covariance Structure for Multivariate Data, Beyond Gaussian Assumption. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9731.

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

Council of Science Editors:

Maadooliat M. Dimension Reduction and Covariance Structure for Multivariate Data, Beyond Gaussian Assumption. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9731

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

28. Mondal, Anirban. Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems.

Degree: 2012, Texas A&M University

 We considered a Bayesian approach to nonlinear inverse problems in which the unknown quantity is a high dimension spatial field. The Bayesian approach contains a… (more)

Subjects/Keywords: Bayesian Hierarchical Model; Karhunen Loeve Expansion; Two Stage Reversible Jump Markov Chain Monte Carlo; Discrete Cosine Transform; Emulator; Bayesian Multivariate Adaptive Regression Splines

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APA (6th Edition):

Mondal, A. (2012). Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9905

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):

Mondal, Anirban. “Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems.” 2012. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9905.

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

MLA Handbook (7th Edition):

Mondal, Anirban. “Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems.” 2012. Web. 18 Sep 2019.

Vancouver:

Mondal A. Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9905.

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

Council of Science Editors:

Mondal A. Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9905

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

29. Shin, Ja Eun. Three essays in labor and health economics: individual decisions on occupation, labor supply, and demand for heatlh.

Degree: 2005, Texas A&M University

 In this dissertation, I examine individual decisions in occupational choice, labor supply, and health care utilization. Occupational choice decisions of female college graduates on whether… (more)

Subjects/Keywords: Female Teachers; Fertility; Occupational Choice; Panel Analysis; Human Capital; Entry Wages,HMO plans; Health Plan Choice; Health Service Utilization

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

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

APA (6th Edition):

Shin, J. E. (2005). Three essays in labor and health economics: individual decisions on occupation, labor supply, and demand for heatlh. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2220

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):

Shin, Ja Eun. “Three essays in labor and health economics: individual decisions on occupation, labor supply, and demand for heatlh.” 2005. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/2220.

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

MLA Handbook (7th Edition):

Shin, Ja Eun. “Three essays in labor and health economics: individual decisions on occupation, labor supply, and demand for heatlh.” 2005. Web. 18 Sep 2019.

Vancouver:

Shin JE. Three essays in labor and health economics: individual decisions on occupation, labor supply, and demand for heatlh. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/2220.

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

Council of Science Editors:

Shin JE. Three essays in labor and health economics: individual decisions on occupation, labor supply, and demand for heatlh. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2220

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


Texas A&M University

30. Lee, Ho-Jin. Functional data analysis: classification and regression.

Degree: 2005, Texas A&M University

 Functional data refer to data which consist of observed functions or curves evaluated at a finite subset of some interval. In this dissertation, we discuss… (more)

Subjects/Keywords: Functional data; Support Vector Machine; Principal component analysis; Functional regression; Dimension reduction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lee, H. (2005). Functional data analysis: classification and regression. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2805

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, Ho-Jin. “Functional data analysis: classification and regression.” 2005. Thesis, Texas A&M University. Accessed September 18, 2019. http://hdl.handle.net/1969.1/2805.

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

MLA Handbook (7th Edition):

Lee, Ho-Jin. “Functional data analysis: classification and regression.” 2005. Web. 18 Sep 2019.

Vancouver:

Lee H. Functional data analysis: classification and regression. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/1969.1/2805.

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

Council of Science Editors:

Lee H. Functional data analysis: classification and regression. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2805

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

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