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1.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
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 methods for estimating ROC curves
by Zur, Richard Michael, Ph.D.  The University of Chicago. 2010: 194 pages; 3432839.
4.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
6.
Performance evaluation in Bayesian adaptive randomization
by Wang, Degang, M.S.  The University of Texas School of Public Health. 2008: 60 pages; 1460814.
7.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
9.
Essays in the Dynamics Bayesian Models in Marketing
by Kim, Bumsoo, Ph.D.  The George Washington University. 2013: 100 pages; 3591693.
10.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
11.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
13.
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.
14.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
15.
Analysis of experiments to validate computer models with binary output
by Chapin, Patrick Samuel, Ph.D.  Iowa State University. 2009: 172 pages; 3389285.
16.
Bayesian monitoring of clinical trials: Examples using conjugate priors
by Tromp, Mary, M.S.  California State University, Long Beach. 2015: 26 pages; 1583226.
17.
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.
18.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
19.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
20.
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.
21.
A Framework for Quality of Service and Fault Management in Service-Oriented Architecture
by Zhang, Jing, Ph.D.  University of California, Irvine. 2013: 151 pages; 3566058.
22.
Bayesian Biclustering on Discrete Data: Variable Selection Methods
by Guo, Lei, Ph.D.  Harvard University. 2013: 143 pages; 3600176.
23.
24.
Reliability growth of multi-stage single shot systems
by Nicholls, Jennifer Lynne, Ph.D.  The George Washington University. 2011: 83 pages; 3448970.
25.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
26.
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.
27.
A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models
by Li, Qie, Ph.D.  Bowling Green State University. 2012: 127 pages; 10631144.
29.
Bayesian estimation for tracking of spiraling reentry vehicles
by Tapiero Bernal, Juan E., M.S.  Marquette University. 2013: 86 pages; 1534305.
30.
Essays on Price Dynamics and Market Selection
by Massari, Filippo, Ph.D.  Washington University in St. Louis. 2013: 72 pages; 3559425.
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