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1.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
2.
Joint modeling of bivariate time to event data with semi-competing risk
by Liao, Ran, Ph.D.  Indiana University - Purdue University Indianapolis. 2017: 148 pages; 10254205.
3.
Enumerating the correct number of classes in a semiparametric group-based trajectory model
by Blaze, Thomas James, Ph.D.  University of Pittsburgh. 2014: 207 pages; 3582652.
4.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
6.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
7.
Nonlinearity Detection Using Penalization-Based Principle
by Cong, Jie, Ph.D.  The George Washington University. 2018: 113 pages; 10927993.
8.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
9.
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.
10.
Bayesian Modeling for fMRI Brain Activation and Connectivity
by Yu, Zhe, Ph.D.  University of California, Irvine. 2015: 155 pages; 3717133.
11.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
12.
13.
A Bayesian Approach to Reduced Order Modeling in Catalytic Steam Reforming
by Ford, Evan D., M.S.  West Virginia University. 2015: 61 pages; 1596597.
14.
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.
16.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
17.
The Role of Empirical Evidence in Modeling Speech Segmentation
by Phillips, Lawrence, Ph.D.  University of California, Irvine. 2015: 150 pages; 10027743.
18.
Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
19.
Slope estimation in a parametric measurement error model: A simulation study
by Lu, Hui, M.S.  The University of Texas School of Public Health. 2011: 38 pages; 1502170.
20.
Statistical Modeling and Analysis for Biomedical Applications
by Ho, Christine, Ph.D.  University of California, Berkeley. 2016: 131 pages; 10248676.
21.
Bayesian estimation for tracking of spiraling reentry vehicles
by Tapiero Bernal, Juan E., M.S.  Marquette University. 2013: 86 pages; 1534305.
22.
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.
23.
Asking Questions: A Computational Perspective
by Rothe, Anselm, Ph.D.  New York University. 2019: 138 pages; 22587250.
25.
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.
26.
Metareasoning and Mental Simulation
by Hamrick, Jessica B., Ph.D.  University of California, Berkeley. 2017: 169 pages; 10690688.
27.
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.
29.
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.
30.
Essays on non/semiparametric models with microeconomic applications
by Sun, Kai, Ph.D.  State University of New York at Binghamton. 2011: 86 pages; 3473523.
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