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1.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
2.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
4.
Early prediction of student goals and affect in narrative-centered learning environments
by Lee, Sunyoung, Ph.D.  North Carolina State University. 2008: 98 pages; 3329207.
5.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
7.
Essays in the Dynamics Bayesian Models in Marketing
by Kim, Bumsoo, Ph.D.  The George Washington University. 2013: 100 pages; 3591693.
8.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
9.
Structural condition scoring of buried sewer pipes for risk-based decision making
by Opila, Mary Catherine, Ph.D.  University of Delaware. 2011: 347 pages; 3473704.
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Reliability growth of multi-stage single shot systems
by Nicholls, Jennifer Lynne, Ph.D.  The George Washington University. 2011: 83 pages; 3448970.
12.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
13.
Various Approaches on Parameter Estimation in Mixture and Non-mixture Cure Models
by Kutal, Durga Hari, Ph.D.  Florida Atlantic University. 2018: 95 pages; 10929031.
14.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
15.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
16.
Two essays on “mining market basket data: Models and applications in marketing”
by Li, Xiaojun, Ph.D.  The George Washington University. 2008: 80 pages; 3315049.
17.
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.
18.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
19.
Analysis of experiments to validate computer models with binary output
by Chapin, Patrick Samuel, Ph.D.  Iowa State University. 2009: 172 pages; 3389285.
20.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
22.
Connection between Graphical Potential Games and Markov Random Fields with an Extension to Bayesian Networks
by Wang, Shiyun, M.S.  California State University, Long Beach. 2018: 43 pages; 10785804.
23.
The Role of Empirical Evidence in Modeling Speech Segmentation
by Phillips, Lawrence, Ph.D.  University of California, Irvine. 2015: 150 pages; 10027743.
25.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
26.
A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models
by Li, Qie, Ph.D.  Bowling Green State University. 2012: 127 pages; 10631144.
27.
Hierarchical Bayes estimation and empirical best prediction of small-area proportions
by Liu, Benmei, Ph.D.  University of Maryland, College Park. 2009: 223 pages; 3359401.
28.
A Crash Risk Index for Freeways Based on Crash Risk Prediction Models and Its Applications
by Chang, Hyoseuk, Ph.D.  University of Maryland, College Park. 2018: 160 pages; 10839822.
29.
A general cause based methodology for analysis of dependent failures in system risk and reliability assessments
by O'Connor, Andrew N., Ph.D.  University of Maryland, College Park. 2013: 402 pages; 3587283.
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