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1.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
2.
Analysis of experiments to validate computer models with binary output
by Chapin, Patrick Samuel, Ph.D.  Iowa State University. 2009: 172 pages; 3389285.
3.
Bayesian methods for estimating ROC curves
by Zur, Richard Michael, Ph.D.  The University of Chicago. 2010: 194 pages; 3432839.
4.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
5.
Essays in the Dynamics Bayesian Models in Marketing
by Kim, Bumsoo, Ph.D.  The George Washington University. 2013: 100 pages; 3591693.
6.
Bayesian Biclustering on Discrete Data: Variable Selection Methods
by Guo, Lei, Ph.D.  Harvard University. 2013: 143 pages; 3600176.
7.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
10.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
11.
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.
12.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
14.
gibbSeq: A new Bayesian method for multiple comparisons for RNA-seq data
by Acheampong, Daniel Asare, M.S.  New Mexico Institute of Mining and Technology. 2017: 77 pages; 10264015.
16.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
17.
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.
19.
A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models
by Li, Qie, Ph.D.  Bowling Green State University. 2012: 127 pages; 10631144.
20.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
21.
Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
22.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
23.
Bayesian estimation for tracking of spiraling reentry vehicles
by Tapiero Bernal, Juan E., M.S.  Marquette University. 2013: 86 pages; 1534305.
24.
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.
25.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
26.
Applications of Genomic Resources and Bayesian Inference Methods to the Breeding of Peach [Prunus persica (L.) Batsch]
by Fresnedo Ramirez, Jonathan, Ph.D.  University of California, Davis. 2014: 168 pages; 3646288.
27.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
28.
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.
29.
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.
30.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
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