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1.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
3.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
4.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
5.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
6.
Bayesian analysis of country risk premia in developing small open economies
by Conti, Seigmund Vincent Roque, M.Sc.  Singapore Management University (Singapore). 2010: 92 pages; 1497077.
7.
The new development of econometrics and its applications in financial markets
by Li, Yuan, Ph.D.  State University of New York at Binghamton. 2009: 103 pages; 3368875.
8.
General Purpose MCMC Sampling for Bayesian Model Averaging
by Boyles, Levi Beinarauskas, Ph.D.  University of California, Irvine. 2014: 129 pages; 3631086.
10.
Macroeconometrics with Bayesian estimation of dynamic stochastic general equilibrium models
by Laforte, Jean-Philippe, Ph.D.  Princeton University. 2008: 185 pages; 3295305.
11.
Detection and explanation of statistical differences across a pair of groups
by Sverchkov, Yuriy, Ph.D.  University of Pittsburgh. 2014: 159 pages; 3647988.
12.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
13.
Bayesian Networks with an application to credit risk
by Kent, Geoffrey, M.S.  California State University, Long Beach. 2014: 173 pages; 1526920.
14.
Essays in the Dynamics Bayesian Models in Marketing
by Kim, Bumsoo, Ph.D.  The George Washington University. 2013: 100 pages; 3591693.
15.
Bayesian methods for estimating ROC curves
by Zur, Richard Michael, Ph.D.  The University of Chicago. 2010: 194 pages; 3432839.
16.
Bayesian Biclustering on Discrete Data: Variable Selection Methods
by Guo, Lei, Ph.D.  Harvard University. 2013: 143 pages; 3600176.
17.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
18.
Performance evaluation in Bayesian adaptive randomization
by Wang, Degang, M.S.  The University of Texas School of Public Health. 2008: 60 pages; 1460814.
19.
Bayesian estimation for tracking of spiraling reentry vehicles
by Tapiero Bernal, Juan E., M.S.  Marquette University. 2013: 86 pages; 1534305.
20.
Radiation Source Mapping with Bayesian Inverse Methods
by Hykes, Joshua Michael, Ph.D.  North Carolina State University. 2012: 198 pages; 3538540.
21.
Bayesian Modeling for fMRI Brain Activation and Connectivity
by Yu, Zhe, Ph.D.  University of California, Irvine. 2015: 155 pages; 3717133.
22.
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.
23.
Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
24.
A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models
by Li, Qie, Ph.D.  Bowling Green State University. 2012: 127 pages; 10631144.
26.
Examining Critical Material Supply Chains Through a Bayesian Network Model
by Kling, Joseph A., D.Engr.  The George Washington University. 2018: 110 pages; 10928265.
27.
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.
28.
Multi-sensor Bayesian estimation interior positioning for stationary and mobile structures
by Tanju, Bereket R., Ph.D.  The George Washington University. 2010: 222 pages; 3433516.
29.
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.
30.
Near-optimality and robustness of greedy algorithms for Bayesian pool-based active learning
by Cuong, Nguyen Viet, Ph.D.  National University of Singapore (Singapore). 2015: 124 pages; 10006066.
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