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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.
2.
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.
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Robust Estimator for Cryo-EM Class Means in the Presence of Outliers
by Huang, Chenxi, Ph.D.  Yale University. 2015: 133 pages; 10012500.
5.
Working correlation selection in generalized estimating equations
by Jang, Mi Jin, Ph.D.  The University of Iowa. 2011: 258 pages; 3494048.
6.
Canonical correlation analysis of functional data
by King, David, Ph.D.  Arizona State University. 2009: 158 pages; 3380673.
7.
Collaborative Targeted Maximum Likelihood Estimation
by Gruber, Susan, Ph.D.  University of California, Berkeley. 2011: 160 pages; 3499349.
9.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
10.
Robust Inference and Network Analysis for Non-Gaussian Gene-Expression Data
by Specht, Alicia T., Ph.D.  University of Notre Dame. 2017: 126 pages; 13836379.
11.
Approximation of Positive Semidefinite Matrices Using the Nyström Method
by Arcolano, Nicholas Francis, Ph.D.  Harvard University. 2011: 247 pages; 3462777.
12.
Authority Flow-based Ranking in Heterogeneous Networks: Prediction, Personalization, and Learning to Rank
by Sayyadi-Harikandehei, Hassan, Ph.D.  University of Maryland, College Park. 2014: 107 pages; 3628017.
14.
Nonparametric inferences for the hazard function with right truncated data
by Akcin, Haci Mustafa, Ph.D.  Georgia State University. 2013: 89 pages; 3562240.
15.
Efficient techniques for OFDM applications over mobile radio channels
by Schmidt, Jorge Friedrich, Ph.D.  Universidad Nacional del Sur (Argentina). 2011: 176 pages; 3472555.
16.
Econometric methods for improved measures of financial risk
by Kim, Moohwan, Ph.D.  University of Missouri - Columbia. 2011: 218 pages; 3515892.
18.
Associations and Confounding in High-Dimensional Genomics
by Darnell, Gregory Byer, Ph.D.  Princeton University. 2019: 169 pages; 13865166.
19.
Competitive Tests and Estimators for Properties of Distributions
by Das, Hirakendu, Ph.D.  University of California, San Diego. 2012: 125 pages; 3503113.
20.
Missing data in non-parametric tests of correlated data
by Howard, Annie Green, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 165 pages; 3512639.
21.
Optimal Seed Deployment under Climate Change using Spatial Models and Prediction of Genetic Merit in Loblolly Pine
by Farjat, Alfredo Ezequiel, Ph.D.  North Carolina State University. 2015: 171 pages; 10585497.
22.
Analysis of Behavioral and Autonomic States in Unstructured Multiday Human Intracranial Electrophysiology
by Alasfour, Abdulwahab Ahmad, Ph.D.  University of California, San Diego. 2020: 119 pages; 28256343.
23.
Change -point distribution estimation in animal learning experiments
by Li, Xiaodong, Ph.D.  Columbia University. 2010: 127 pages; 3400635.
24.
Right People Right Plan: A Correlation Study of Communication Among National Security Partners
by Duncan, Melanie Y., DM/IST  University of Phoenix. 2019: 286 pages; 27671075.
25.
Information and Communications Technology Based Solution to Rank Emergency Hospitals
by Jenkins, Taneaka Anesha, M.S.  North Carolina Agricultural and Technical State University. 2013: 67 pages; 1545990.
27.
Analysis of longitudinal latent-variables with two sources of measurement error
by Nussbaum, Amy Elizabeth, Ph.D.  Southern Methodist University. 2015: 185 pages; 3740030.
28.
Optimizing symbol timing, frequency spacing, and SNR estimation for communication systems
by Das, Aniruddha, Ph.D.  University of California, San Diego. 2013: 196 pages; 3567533.
29.
Targeted Learning in Estimating Heterogeneous Effects and Transporting Direct and Indirect Effects
by Levy, Jonathan M., Ph.D.  University of California, Berkeley. 2019: 129 pages; 13865028.
30.
Learning to rank documents with support vector machines via active learning
by Arens, Robert James, Ph.D.  The University of Iowa. 2009: 113 pages; 3390239.
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