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2.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
3.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
4.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
5.
Bayesian Modeling for fMRI Brain Activation and Connectivity
by Yu, Zhe, Ph.D.  University of California, Irvine. 2015: 155 pages; 3717133.
7.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
8.
A Bayesian Approach to Reduced Order Modeling in Catalytic Steam Reforming
by Ford, Evan D., M.S.  West Virginia University. 2015: 61 pages; 1596597.
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10.
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.
11.
Application of systems factorial technology and hierarchical Bayesian modeling to chunking in Working Memory
by Thiele, Jonathan, Ph.D.  University of Missouri - Columbia. 2015: 126 pages; 10178999.
13.
Applicability of Predictive Modeling on a Network Enterprise Risk Management Critical Infrastructure
by Valentin Torres, Ana Hilda, D.Sc.  Marymount University. 2020: 146 pages; 28391145.
14.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
15.
The Role of Empirical Evidence in Modeling Speech Segmentation
by Phillips, Lawrence, Ph.D.  University of California, Irvine. 2015: 150 pages; 10027743.
16.
Applications of Genomic Resources and Bayesian Inference Methods to the Breeding of Peach [Prunus persica (L.) Batsch]
by Fresnedo Ramirez, Jonathan, Ph.D.  University of California, Davis. 2014: 168 pages; 3646288.
17.
Bayesian estimation for tracking of spiraling reentry vehicles
by Tapiero Bernal, Juan E., M.S.  Marquette University. 2013: 86 pages; 1534305.
18.
Econometric Modeling of City Population Growth in Developing Countries
by Kim, Donghwan, Ph.D.  State University of New York at Stony Brook. 2011: 125 pages; 3460590.
19.
Asking Questions: A Computational Perspective
by Rothe, Anselm, Ph.D.  New York University. 2019: 138 pages; 22587250.
20.
On the Usability of Continuous Time Bayesian Networks: Improving Scalability and Expressiveness
by Perreault, Logan Jared, Ph.D.  Montana State University. 2017: 250 pages; 10258540.
21.
A hybrid methodology for modeling risk of adverse events in complex healthcare settings
by Kazemi-Tabriz, Reza, Ph.D.  University of Maryland, College Park. 2011: 303 pages; 3478953.
22.
Bias in Novel Category Learning
by Martin, Sean, Ph.D.  New York University. 2015: 203 pages; 3740789.
23.
Stochastic Drought Risk Analysis and Projection Methods For Thermoelectric Power Systems
by Bekera, Behailu Belamo, Ph.D.  The George Washington University. 2016: 166 pages; 3725243.
24.
Metareasoning and Mental Simulation
by Hamrick, Jessica B., Ph.D.  University of California, Berkeley. 2017: 169 pages; 10690688.
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27.
Statistical Modeling and Analysis for Biomedical Applications
by Ho, Christine, Ph.D.  University of California, Berkeley. 2016: 131 pages; 10248676.
28.
Examining Critical Material Supply Chains Through a Bayesian Network Model
by Kling, Joseph A., D.Engr.  The George Washington University. 2018: 110 pages; 10928265.
29.
Modeling inflation expectations in the U.K.
by Antoshin, Sergei, Ph.D.  The George Washington University. 2010: 120 pages; 3397674.
30.
Contributions to Statistical Testing, Prediction, and Modeling
by Pesko, John Carl, Ph.D.  The University of New Mexico. 2017: 136 pages; 10264281.
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