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Texas A&M University

1. Konomi, Bledar. Bayesian Spatial Modeling of Complex and High Dimensional Data.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267

► The main objective of this dissertation is to apply Bayesian modeling to different complex and high-dimensional spatial data sets. I develop Bayesian hierarchical spatial models…
(more)

Subjects/Keywords: Object classification; Image segmentation; Nanoparticles; Markov-chain Monte-carlo; Bayesian shape analysis; Predictive process; Full-scale approximation; Bayesian treed Gaussian process

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

APA (6^{th} Edition):

Konomi, B. (2012). Bayesian Spatial Modeling of Complex and High Dimensional Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Konomi, Bledar. “Bayesian Spatial Modeling of Complex and High Dimensional Data.” 2012. Thesis, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Konomi, Bledar. “Bayesian Spatial Modeling of Complex and High Dimensional Data.” 2012. Web. 22 May 2019.

Vancouver:

Konomi B. Bayesian Spatial Modeling of Complex and High Dimensional Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Konomi B. Bayesian Spatial Modeling of Complex and High Dimensional Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

2. Wang, Xuan. Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777

► Proteomics serves an important role at the systems-level in understanding of biological functioning. Mass spectrometry proteomics has become the tool of choice for identifying and…
(more)

Subjects/Keywords: Proteomics; Mass spectrometry; Bottom-up; Identification; Alignment; Quantitation; LC-MS; PSM; Bayesian Hierarchical Model; FDR; Anchor Points; Missingness

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APA (6^{th} Edition):

Wang, X. (2012). Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wang, Xuan. “Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data.” 2012. Thesis, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Xuan. “Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data.” 2012. Web. 22 May 2019.

Vancouver:

Wang X. Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. Statistical Methods for the Analysis of Mass Spectrometry-based Proteomics Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10777

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

3. Xun, Xiaolei. Statistical Inference in Inverse Problems.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

► Inverse problems have gained popularity in statistical research recently. This dissertation consists of two statistical inverse problems: a Bayesian approach to detection of small low…
(more)

Subjects/Keywords: Inverse problems; Bayesian method; Source detection; Parameter estimation; Parameter cascading; Partial differential equations.

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APA (6^{th} Edition):

Xun, X. (2012). Statistical Inference in Inverse Problems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Thesis, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Xun, Xiaolei. “Statistical Inference in Inverse Problems.” 2012. Web. 22 May 2019.

Vancouver:

Xun X. Statistical Inference in Inverse Problems. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xun X. Statistical Inference in Inverse Problems. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10874

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

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

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151016

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Cheng, Yichen. “Stochastic Approximation and Its Application in MCMC.” 2013. Thesis, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/151016.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cheng, Yichen. “Stochastic Approximation and Its Application in MCMC.” 2013. Web. 22 May 2019.

Vancouver:

Cheng Y. Stochastic Approximation and Its Application in MCMC. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/151016.

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

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

5. Zhu, Xinxin. Wind Speed Forecasting for Power System Operation.

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151248

► In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and…
(more)

Subjects/Keywords: Wind Forecasting; Space-Time

Record Details Similar Records

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APA (6^{th} Edition):

Zhu, X. (2013). Wind Speed Forecasting for Power System Operation. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151248

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Zhu, Xinxin. “Wind Speed Forecasting for Power System Operation.” 2013. Thesis, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/151248.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhu, Xinxin. “Wind Speed Forecasting for Power System Operation.” 2013. Web. 22 May 2019.

Vancouver:

Zhu X. Wind Speed Forecasting for Power System Operation. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/151248.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu X. Wind Speed Forecasting for Power System Operation. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151248

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

6. Zeng, Guchao. Theta Operators on v-adic Modular Forms and v-adic Families of Goss Polynomials and Eisenstein Series.

Degree: PhD, Mathematics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/165731

► The first part of the dissertation is mainly from my first paper joint with my advisor Papanikolas and the second part will be our second…
(more)

Subjects/Keywords: Theta operator; v-adic modular forms; v-adic limits; Goss polynomials; Eisenstein series; Bernoulli-Carlitz numbers

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

APA (6^{th} Edition):

Zeng, G. (2017). Theta Operators on v-adic Modular Forms and v-adic Families of Goss Polynomials and Eisenstein Series. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165731

Chicago Manual of Style (16^{th} Edition):

Zeng, Guchao. “Theta Operators on v-adic Modular Forms and v-adic Families of Goss Polynomials and Eisenstein Series.” 2017. Doctoral Dissertation, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/165731.

MLA Handbook (7^{th} Edition):

Zeng, Guchao. “Theta Operators on v-adic Modular Forms and v-adic Families of Goss Polynomials and Eisenstein Series.” 2017. Web. 22 May 2019.

Vancouver:

Zeng G. Theta Operators on v-adic Modular Forms and v-adic Families of Goss Polynomials and Eisenstein Series. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/165731.

Council of Science Editors:

Zeng G. Theta Operators on v-adic Modular Forms and v-adic Families of Goss Polynomials and Eisenstein Series. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165731

Texas A&M University

7. Lv, Dan. Modeling Cascading Failures in Complex Networks.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/165947

► Large-scale cascading failures can be triggered by very few initial failures, leading to severe damages in complex networks. As modern society becomes more and more…
(more)

Subjects/Keywords: cascading failure; complex network

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

APA (6^{th} Edition):

Lv, D. (2017). Modeling Cascading Failures in Complex Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165947

Chicago Manual of Style (16^{th} Edition):

Lv, Dan. “Modeling Cascading Failures in Complex Networks.” 2017. Doctoral Dissertation, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/165947.

MLA Handbook (7^{th} Edition):

Lv, Dan. “Modeling Cascading Failures in Complex Networks.” 2017. Web. 22 May 2019.

Vancouver:

Lv D. Modeling Cascading Failures in Complex Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/165947.

Council of Science Editors:

Lv D. Modeling Cascading Failures in Complex Networks. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165947

Texas A&M University

8. Tapia Imbaquingo, Gustavo Andres. Quantifying and Reducing Uncertainty in Metal-Based Additive Manufacturing Laser Powder-Bed Fusion Processes.

Degree: PhD, Industrial Engineering, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/173574

► Laser Powder-Bed Fusion processes capable of processing metallic materials are a set of relatively new and emerging Additive Manufacturing technologies that offer attractive potential and…
(more)

Subjects/Keywords: additive manufacturing; uncertainty quantification; powder-bed fusion; uncertainty propagation; polynomial chaos expansions; Gaussian processes; Bayesian statistics

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APA (6^{th} Edition):

Tapia Imbaquingo, G. A. (2018). Quantifying and Reducing Uncertainty in Metal-Based Additive Manufacturing Laser Powder-Bed Fusion Processes. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173574

Chicago Manual of Style (16^{th} Edition):

Tapia Imbaquingo, Gustavo Andres. “Quantifying and Reducing Uncertainty in Metal-Based Additive Manufacturing Laser Powder-Bed Fusion Processes.” 2018. Doctoral Dissertation, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/173574.

MLA Handbook (7^{th} Edition):

Tapia Imbaquingo, Gustavo Andres. “Quantifying and Reducing Uncertainty in Metal-Based Additive Manufacturing Laser Powder-Bed Fusion Processes.” 2018. Web. 22 May 2019.

Vancouver:

Tapia Imbaquingo GA. Quantifying and Reducing Uncertainty in Metal-Based Additive Manufacturing Laser Powder-Bed Fusion Processes. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/173574.

Council of Science Editors:

Tapia Imbaquingo GA. Quantifying and Reducing Uncertainty in Metal-Based Additive Manufacturing Laser Powder-Bed Fusion Processes. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173574

Texas A&M University

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

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

URL: http://hdl.handle.net/1969.1/174185

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

APA (6^{th} 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 (16^{th} Edition):

Kim, Jinsu. “A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.” 2014. Doctoral Dissertation, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/174185.

MLA Handbook (7^{th} Edition):

Kim, Jinsu. “A Bootstrap Metropolis-Hastings algorithm for Bayesian Analysis of Big Data.” 2014. Web. 22 May 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 May 22]. 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

10. Won, Jae Woong. From Crisis to Recovery: A Study of Walkability Impacts on Foreclosure in Los Angeles, California.

Degree: PhD, Urban and Regional Sciences, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/158115

► Over the past decade, the literature has demonstrated negative price impacts for foreclosures; socioeconomically uneven foreclosure rates; and inconsistent durations in foreclosure status. However, while…
(more)

Subjects/Keywords: Walkability; Built Environments; Foreclosures; Spillover Effects; Disparities; Resiliency

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APA (6^{th} Edition):

Won, J. W. (2016). From Crisis to Recovery: A Study of Walkability Impacts on Foreclosure in Los Angeles, California. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158115

Chicago Manual of Style (16^{th} Edition):

Won, Jae Woong. “From Crisis to Recovery: A Study of Walkability Impacts on Foreclosure in Los Angeles, California.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/158115.

MLA Handbook (7^{th} Edition):

Won, Jae Woong. “From Crisis to Recovery: A Study of Walkability Impacts on Foreclosure in Los Angeles, California.” 2016. Web. 22 May 2019.

Vancouver:

Won JW. From Crisis to Recovery: A Study of Walkability Impacts on Foreclosure in Los Angeles, California. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/158115.

Council of Science Editors:

Won JW. From Crisis to Recovery: A Study of Walkability Impacts on Foreclosure in Los Angeles, California. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158115

Texas A&M University

11. Zhang, Yanyan. Intelligent Design in Wireless System.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/169579

► We are living in an era full of data services, and the advancement in statistical learning encourages the development of intelligent system design algorithms based…
(more)

Subjects/Keywords: Cognitive Radio; Energy Harvesting; Spectrum Sensing; Hidden Markov Model; Power Sensing; 2-D Sensing; Spatio-temporal Model; Recurrent Neural Network; Multi-task Learning.

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

APA (6^{th} Edition):

Zhang, Y. (2017). Intelligent Design in Wireless System. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169579

Chicago Manual of Style (16^{th} Edition):

Zhang, Yanyan. “Intelligent Design in Wireless System.” 2017. Doctoral Dissertation, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/169579.

MLA Handbook (7^{th} Edition):

Zhang, Yanyan. “Intelligent Design in Wireless System.” 2017. Web. 22 May 2019.

Vancouver:

Zhang Y. Intelligent Design in Wireless System. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/169579.

Council of Science Editors:

Zhang Y. Intelligent Design in Wireless System. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169579

Texas A&M University

12. Chen, Hsiang-Chun. Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model.

Degree: 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151145

► Multivariate generalized linear mixed models (MGLMM) are used for jointly modeling the clustered mixed outcomes obtained when there are two or more responses repeatedly measured…
(more)

Subjects/Keywords: Correlation coefficient; Clustered mixed outcome; Multivariate generalized linear model; Uniform shrinkage prior

Record Details Similar Records

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

APA (6^{th} Edition):

Chen, H. (2013). Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151145

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chen, Hsiang-Chun. “Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model.” 2013. Thesis, Texas A&M University. Accessed May 22, 2019. http://hdl.handle.net/1969.1/151145.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chen, Hsiang-Chun. “Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model.” 2013. Web. 22 May 2019.

Vancouver:

Chen H. Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 22]. Available from: http://hdl.handle.net/1969.1/151145.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen H. Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151145

Not specified: Masters Thesis or Doctoral Dissertation