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A parallel implementation of Gibbs sampling algorithm for 2PNO IRT models
by Rahimi, Mona, M.S.  Southern Illinois University at Carbondale. 2011: 72 pages; 1500979.
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General Purpose MCMC Sampling for Bayesian Model Averaging
by Boyles, Levi Beinarauskas, Ph.D.  University of California, Irvine. 2014: 129 pages; 3631086.
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gibbSeq: A new Bayesian method for multiple comparisons for RNA-seq data
by Acheampong, Daniel Asare, M.S.  New Mexico Institute of Mining and Technology. 2017: 77 pages; 10264015.
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Hierarchical Bayesian Model for AK Composite Estimators in the Current Population Survey (CPS)
by Li, Yuan, Ph.D.  The George Washington University. 2018: 137 pages; 10748002.
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Exploring and Sampling on High Dimensional Free Energy Surfaces
by Chen, Ming, Ph.D.  New York University. 2016: 183 pages; 10025680.
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William Gibbs McAdoo: The last Progressive, (1863–1941)
by Chase, Philip M., Ph.D.  University of Southern California. 2008: 429 pages; 3341909.
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Near-optimality and robustness of greedy algorithms for Bayesian pool-based active learning
by Cuong, Nguyen Viet, Ph.D.  National University of Singapore (Singapore). 2015: 124 pages; 10006066.
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Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
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The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
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Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
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Improved conformational sampling methods for molecular dynamics simulations
by Okur, Asim, Ph.D.  State University of New York at Stony Brook. 2007: 183 pages; 3299725.
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Detecting, modeling and rendering complex configurations of curvilinear features
by Parilov, Evgueni, Ph.D.  New York University. 2008: 317 pages; 3342392.
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Approximation of Positive Semidefinite Matrices Using the Nyström Method
by Arcolano, Nicholas Francis, Ph.D.  Harvard University. 2011: 247 pages; 3462777.
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Force field development with GOMC, a fast new Monte Carlo molecular simulation code
by Mick, Jason Richard, Ph.D.  Wayne State University. 2016: 171 pages; 10105010.
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A Multivariate Bayesian Approach to Modeling Vulnerability Discovery in the Software Security Lifecycle
by Johnston, Reuben Aaron, Ph.D.  The George Washington University. 2018: 205 pages; 10828524.
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Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
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To weight or not to weight? Incorporating sampling designs into model-based analyses
by Bertolet, Marianne (Marnie), Ph.D.  Carnegie Mellon University. 2008: 301 pages; 3326665.
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Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques
by Foulds, James Richard, Ph.D.  University of California, Irvine. 2014: 287 pages; 3631094.
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Robust network inference with multivariate t-distributions
by Finegold, Michael A., Ph.D.  The University of Chicago. 2010: 94 pages; 3419771.
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Machine learning challenges for automated prompting in smart homes
by Das, Barnan, Ph.D.  Washington State University. 2014: 236 pages; 3640007.
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Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
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Using Social Dynamics to Make Individual Predictions: Variational Inference with Stochastic Kinetic Model
by Xu, Zhen, Ph.D.  State University of New York at Buffalo. 2016: 118 pages; 10253123.
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