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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 Networks with an application to credit risk
by Kent, Geoffrey, M.S.  California State University, Long Beach. 2014: 173 pages; 1526920.
3.
Detecting Failures and Locating Faults in Global Scale Online Services Using Bayesian Networks
by Knutsen, Eric E., D.Engr.  The George Washington University. 2020: 95 pages; 27544911.
4.
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.
5.
A Risk Analysis of the Molybdenum-99 Supply Chain Using Bayesian Networks
by Liang, Jeffrey Ryan, D.Engr.  The George Washington University. 2017: 119 pages; 10263578.
6.
Quantum Bayesian networks with application to games displaying Parrondo's paradox
by Pejic, Michael, Ph.D.  University of California, Berkeley. 2014: 165 pages; 3685984.
8.
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.
9.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
11.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
13.
Essays in the Dynamics Bayesian Models in Marketing
by Kim, Bumsoo, Ph.D.  The George Washington University. 2013: 100 pages; 3591693.
14.
Detection and explanation of statistical differences across a pair of groups
by Sverchkov, Yuriy, Ph.D.  University of Pittsburgh. 2014: 159 pages; 3647988.
16.
Event detection in sensor networks
by Tang, Debra, Ph.D.  The George Washington University. 2009: 57 pages; 3352721.
17.
Examining Critical Material Supply Chains Through a Bayesian Network Model
by Kling, Joseph A., D.Engr.  The George Washington University. 2018: 110 pages; 10928265.
18.
Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques
by Foulds, James Richard, Ph.D.  University of California, Irvine. 2014: 287 pages; 3631094.
19.
20.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
21.
Computational inference of genetic regulatory networks in human cancer cells
by Margolin, Adam Arne, Ph.D.  Columbia University. 2008: 282 pages; 3299359.
22.
Bayesian Modeling for fMRI Brain Activation and Connectivity
by Yu, Zhe, Ph.D.  University of California, Irvine. 2015: 155 pages; 3717133.
23.
A new method for genetic network reconstruction in expression QTL data sets
by Duarte, Christine W., Ph.D.  North Carolina State University. 2009: 84 pages; 3395300.
24.
Using Social Dynamics to Make Individual Predictions: Variational Inference with Stochastic Kinetic Model
by Xu, Zhen, Ph.D.  State University of New York at Buffalo. 2016: 118 pages; 10253123.
26.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
27.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
29.
Algorithms for Reconstruction of Gene Regulatory Networks from High-Throughput Gene Expression Data
by Deng, Wenping, Ph.D.  Michigan Technological University. 2018: 100 pages; 13420080.
30.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
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