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1.
Fused Lasso and Tensor Covariance Learning with Robust Estimation
by Kunz, Matthew Ross, Ph.D.  The Florida State University. 2018: 82 pages; 10973227.
2.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
3.
Statistical methods for high-dimensional data analysis
by Gupta, Abhishek, Ph.D.  University of Pennsylvania. 2008: 96 pages; 3346226.
4.
Topics in statistical learning
by Hofling, Holger, Ph.D.  Stanford University. 2009: 132 pages; 3364502.
5.
Various considerations on performance measures for a classification of ordinal data
by Nyongesa, Denis Barasa, M.S.  California State University, Long Beach. 2016: 111 pages; 10133995.
6.
A comparison of parametric and non-parametric methods for detecting fraudulent automobile insurance claims
by Ceglia, Cesarina, M.S.  California State University, Long Beach. 2016: 69 pages; 10147317.
7.
Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests
by Jaiantilal, Abhishek, Ph.D.  University of Colorado at Boulder. 2013: 164 pages; 3592307.
9.
Systemic Networks for High-Dimensional Exposures and Health Outcomes
by Lee, Jai Woo, Ph.D.  Dartmouth College. 2019: 92 pages; 13885205.
10.
Algorithms for Reconstruction of Gene Regulatory Networks from High-Throughput Gene Expression Data
by Deng, Wenping, Ph.D.  Michigan Technological University. 2018: 100 pages; 13420080.
11.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
12.
A Predictive Modeling for Detecting Fraudulent Automobile Insurance Claims
by Pu, Yuan, M.S.  California State University, Long Beach. 2019: 44 pages; 13900194.
13.
Predictive models of cytotoxicity as mediated by exposure to environmental toxicants and drugs
by Cong, Ming, M.S.  California State University, Long Beach. 2015: 48 pages; 1602562.
14.
Nonlinearity Detection Using Penalization-Based Principle
by Cong, Jie, Ph.D.  The George Washington University. 2018: 113 pages; 10927993.
15.
Robust network inference with multivariate t-distributions
by Finegold, Michael A., Ph.D.  The University of Chicago. 2010: 94 pages; 3419771.
16.
Statistical Tests for Optimization Efficiency
by Boyles, Levi Beinarauskas, M.S.  University of California, Irvine. 2010: 45 pages; 1483253.
17.
A statistical method for selection, classification, and network construction in genetic systems
by Apitz, Juan Carlos, M.S.  California State University, Long Beach. 2016: 48 pages; 10127023.
18.
Essays on Portfolio Theory and Applications
by Jin, Yong, Ph.D.  University of Florida. 2016: 92 pages; 10679132.
19.
Statistical Support Algorithms for Clinical Decisions and Prevention of Genetic-related Heart Disease
by Sotero, Charity Faith Gallemit, M.S.  California State University, Long Beach. 2018: 80 pages; 10751893.
20.
Classification of Placental Chorionic Surface Vasculature Network Features Using Machine Learning Techniques
by Hambarsoomian, Hike, M.S.  California State University, Long Beach. 2017: 50 pages; 10603969.
21.
22.
Computational modeling of gene regulatory programs in differentiation and disease
by Setty, Manu, Ph.D.  Weill Medical College of Cornell University. 2014: 99 pages; 3581780.
23.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
24.
Variable selection for models with missing data
by Garcia, Ramon Israel, Ph.D.  The University of North Carolina at Chapel Hill. 2009: 116 pages; 3387975.
25.
Computational approaches to study the relation between genomic variations and phenotypes
by Huang, Hailiang, Ph.D.  The Johns Hopkins University. 2012: 212 pages; 3528554.
26.
Command Language for Single-User, Multi-Robot Swarm Control
by Shultz, Abraham M., Sc.D.  University of Massachusetts Lowell. 2019: 327 pages; 13859845.
27.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
28.
A Comparison of Variance and Renyi's Entropy with Application to Machine Learning
by Peccarelli, Adric M., M.S.  Northern Illinois University. 2017: 38 pages; 10603911.
30.
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.
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