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1.
Orthomorphisms of Boolean Groups
by Schimanski, Nichole Louise, Ph.D.  Portland State University. 2016: 99 pages; 10154830.
2.
Essays in Open Macroeconomic Dynamics
by Hu, Jingxian, Ph.D.  University of Kansas. 2018: 149 pages; 10808068.
3.
Behavioral modeling of botnet populations viewed through internet protocol address space
by Weaver, Rhiannon Lisa, Ph.D.  Carnegie Mellon University. 2012: 204 pages; 3528576.
4.
Detecting, modeling and rendering complex configurations of curvilinear features
by Parilov, Evgueni, Ph.D.  New York University. 2008: 317 pages; 3342392.
6.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
7.
Essays on income taxation and idiosyncratic risk
by Lopez Daneri, Martin Eduardo, Ph.D.  The University of Iowa. 2012: 128 pages; 3526844.
8.
Approximation of Positive Semidefinite Matrices Using the Nyström Method
by Arcolano, Nicholas Francis, Ph.D.  Harvard University. 2011: 247 pages; 3462777.
9.
Calibration of Thermal Soil Properties in the Shallow Subsurface
by Fregosi, Anna, Ph.D.  North Carolina State University. 2015: 191 pages; 10110538.
10.
On mutation and crossover in the theory of evolutionary algorithms
by Richter, James Neal, Ph.D.  Montana State University. 2010: 300 pages; 3403059.
11.
Inverse procedural modeling of trees
by Stava, Ondrej, Ph.D.  Purdue University. 2012: 124 pages; 10156257.
12.
Robust and efficient inference of scene and object motion in multi-camera systems
by Sankaranarayanan, Aswin C., Ph.D.  University of Maryland, College Park. 2009: 181 pages; 3391385.
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A Bayesian Hierarchical Model for Multiple Comparisons in Mixed Models
by Li, Qie, Ph.D.  Bowling Green State University. 2012: 127 pages; 10631144.
15.
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.
18.
General Purpose MCMC Sampling for Bayesian Model Averaging
by Boyles, Levi Beinarauskas, Ph.D.  University of California, Irvine. 2014: 129 pages; 3631086.
19.
Application of systems factorial technology and hierarchical Bayesian modeling to chunking in Working Memory
by Thiele, Jonathan, Ph.D.  University of Missouri - Columbia. 2015: 126 pages; 10178999.
20.
To weight or not to weight? Incorporating sampling designs into model-based analyses
by Bertolet, Marianne (Marnie), Ph.D.  Carnegie Mellon University. 2008: 301 pages; 3326665.
21.
Hierarchical Bayes estimation and empirical best prediction of small-area proportions
by Liu, Benmei, Ph.D.  University of Maryland, College Park. 2009: 223 pages; 3359401.
22.
On the Return Decomposition and the Intertemporal CAPM
by Chang, Yuan-Szu, Ph.D.  The George Washington University. 2012: 193 pages; 3518825.
23.
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.
24.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
25.
The development of a convergence diagnostic for Markov chain Monte Carlo estimation
by Burke, Matthew Joseph, Ph.D.  The University of North Carolina at Greensboro. 2011: 282 pages; 3490550.
26.
The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
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Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
29.
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.
30.
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.
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