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1.
Essays on the econometric theory of rank regressions
by Subbotin, Viktor Yevgenyevich, Ph.D.  Northwestern University. 2008: 173 pages; 3331143.
3.
Automatic Shape-Constrained Non-Parametric Regression
by Gao, Zhikun, Ph.D.  The George Washington University. 2019: 173 pages; 13813788.
4.
Nonparametric inferences for the hazard function with right truncated data
by Akcin, Haci Mustafa, Ph.D.  Georgia State University. 2013: 89 pages; 3562240.
5.
Algorithms for Graph Drawing Problems
by He, Dayu, Ph.D.  State University of New York at Buffalo. 2017: 107 pages; 10284151.
6.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
7.
Approximation of Positive Semidefinite Matrices Using the Nyström Method
by Arcolano, Nicholas Francis, Ph.D.  Harvard University. 2011: 247 pages; 3462777.
8.
Change -point distribution estimation in animal learning experiments
by Li, Xiaodong, Ph.D.  Columbia University. 2010: 127 pages; 3400635.
9.
Robust Estimator for Cryo-EM Class Means in the Presence of Outliers
by Huang, Chenxi, Ph.D.  Yale University. 2015: 133 pages; 10012500.
10.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
11.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
12.
Distributed estimation over networks with communication costs
by Lipsa, Gabriel-Mihai, Ph.D.  University of Maryland, College Park. 2010: 188 pages; 3426416.
13.
New Paths from Splay to Dynamic Optimality
by Levy, Caleb Carson, Ph.D.  Princeton University. 2019: 137 pages; 13885892.
14.
Advances in Weak Identification and Robust Inference for Generically Identified Models
by Cox, Gregory Fletcher, Ph.D.  Yale University. 2017: 306 pages; 10633240.
15.
Simulating and optimizing: Military manpower modeling and mountain range options
by Hall, Andrew O., Ph.D.  University of Maryland, College Park. 2009: 169 pages; 3359742.
16.
Fault-Tolerant Nonlinear Estimator-Based Direct Torque Control of Sensorless AC Motor Drives
by Park, Joon B., M.S.  Southern Illinois University at Edwardsville. 2018: 59 pages; 10982121.
17.
Some Contributions to the Theory and Applications of R-Symmetry
by Awadalla, Saria Salah, Ph.D.  University of Rochester. 2012: 166 pages; 3498215.
18.
19.
Decision making in education: Returns to schooling, uncertainty, and child -parent interactions
by Giustinelli, Pamela, Ph.D.  Northwestern University. 2010: 325 pages; 3402415.
20.
Competitive Tests and Estimators for Properties of Distributions
by Das, Hirakendu, Ph.D.  University of California, San Diego. 2012: 125 pages; 3503113.
21.
Variance function estimation in nonparametric regression model
by Wang, Lie, Ph.D.  University of Pennsylvania. 2008: 77 pages; 3328698.
22.
Understanding the Deforestation in the Amazon Using Semiparametric Methods with Group Effects
by Souza Rodrigues, Eduardo Augusto de, Ph.D.  Yale University. 2012: 248 pages; 3525379.
23.
Associations and Confounding in High-Dimensional Genomics
by Darnell, Gregory Byer, Ph.D.  Princeton University. 2019: 169 pages; 13865166.
24.
Pebble Games and Complexity
by Chan, Siu Man, Ph.D.  University of California, Berkeley. 2013: 74 pages; 3593787.
25.
Detection of low rank signals in noise and fast correlation mining with applications to large biological data
by Shabalin, Andrey A., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 139 pages; 3418746.
26.
Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
27.
Test for infinite variance in stock returns
by Yan, Xian Ning, M.Sc.  Singapore Management University (Singapore). 2009: 51 pages; 1478881.
28.
Principal Network Analysis
by Mei, Jonathan B., Ph.D.  Carnegie Mellon University. 2018: 154 pages; 10822110.
29.
Minimum Disparity Inference for Discrete Ranked Set Sampling Data
by Alexandridis, Roxana, Ph.D.  The Ohio State University. 2005: 137 pages; 10834940.
30.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
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