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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.
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.
3.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
4.
Reliability growth of multi-stage single shot systems
by Nicholls, Jennifer Lynne, Ph.D.  The George Washington University. 2011: 83 pages; 3448970.
6.
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.
7.
Examining Critical Material Supply Chains Through a Bayesian Network Model
by Kling, Joseph A., D.Engr.  The George Washington University. 2018: 110 pages; 10928265.
8.
Extracting Key Features for Analysis and Recognition in Computer Vision
by Gao, Hui, Ph.D.  The Ohio State University. 2006: 164 pages; 10835745.
9.
The Role of Empirical Evidence in Modeling Speech Segmentation
by Phillips, Lawrence, Ph.D.  University of California, Irvine. 2015: 150 pages; 10027743.
11.
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.
12.
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.
13.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
14.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
15.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
16.
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.
17.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
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19.
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.
20.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
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22.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
23.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
26.
Prediction and recommendation in online media
by Yin, Dawei, Ph.D.  Lehigh University. 2013: 256 pages; 3598939.
27.
Refined-scale crash data analysis using multi-level regression models
by Ma, Xiaoxiang, Ph.D.  Colorado State University. 2016: 175 pages; 10240737.
28.
Analysis of experiments to validate computer models with binary output
by Chapin, Patrick Samuel, Ph.D.  Iowa State University. 2009: 172 pages; 3389285.
29.
Lidar remote sensing of savanna biophysical attributes
by Gwenzi, David, Ph.D.  Colorado State University. 2015: 148 pages; 3720536.
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