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1.
Inverse circular regression with possibly asymmetric error distribution
by Kim, Sungsu, Ph.D.  University of California, Riverside. 2009: 122 pages; 3374428.
2.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
3.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
4.
Local spatial modeling using Geographically Weighted Regression (GWR)
by Wankie, Che, M.S.  California State University, Long Beach. 2013: 112 pages; 1523087.
5.
Regression Strategies for Low-Dimensional Problems with Application to Color Management
by Garcia, Eric K., Ph.D.  University of Washington. 2010: 102 pages; 3445541.
6.
Nonparametric regression using wavelet transformations and noise reduction in audio signals
by Brothers, Jonathan, M.S.  California State University, Long Beach. 2009: 173 pages; 1466191.
7.
An Approach to the Solution of Inverse Problem Using Unsupervised Machine Learning
by Dixit, Surabhi, M.S.  California State University, Long Beach. 2018: 64 pages; 10752219.
12.
Variance function estimation in nonparametric regression model
by Wang, Lie, Ph.D.  University of Pennsylvania. 2008: 77 pages; 3328698.
13.
Essays on bank organization, market structure, and bank risk taking behavior
by Goetz, Martin R., Ph.D.  Brown University. 2010: 109 pages; 3430134.
14.
Short term load forecasting with recency effect: Models and applications
by Liu, Bidong, Ph.D.  The University of North Carolina at Charlotte. 2016: 151 pages; 10111881.
15.
Factor models: Testing and forecasting
by Yao, Jiawei, Ph.D.  Princeton University. 2015: 114 pages; 3682786.
16.
Geography of the Gender Gap: Brexit, Income, and Scale
by Zucherman, Hannah M., M.A.  California State University, Long Beach. 2017: 88 pages; 10604951.
17.
A Statistical Analysis of Hurricanes in the Atlantic Basin & Sinkholes in Florida
by D'Andrea, Joy, Ph.D.  University of South Florida. 2016: 118 pages; 10103862.
18.
Examining Economic Redevelopment Programs with Multinomial Logistic Regression in Colorado and Ohio
by Tharp, Kelsey, M.S.  Southern Illinois University at Edwardsville. 2015: 90 pages; 10000369.
19.
Refined-scale crash data analysis using multi-level regression models
by Ma, Xiaoxiang, Ph.D.  Colorado State University. 2016: 175 pages; 10240737.
20.
Cannabinoid receptor inverse agonists as novel therapeutic agents
by Seely, Kathryn A., Ph.D.  University of Arkansas for Medical Sciences. 2009: 170 pages; 3357550.
21.
Optimal designs for segmented polynomial regression models and web-based implementation of optimal design software
by Wu, XiangFeng, Ph.D.  State University of New York at Stony Brook. 2007: 81 pages; 3337619.
22.
Wavelet Transform and Ensemble Logistic Regression for Driver Drowsiness Detection
by Kannanthanathu, Amal Francis, M.S.  California State University, Long Beach. 2017: 44 pages; 10639615.
23.
Inverse optimal control for deterministic continuous-time nonlinear systems
by Johnson, Miles J., Ph.D.  University of Illinois at Urbana-Champaign. 2013: 147 pages; 3632073.
24.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
25.
26.
Regression Analysis of Big Count Data Via A-optimal Subsampling
by Zhao, Xiaofeng, Ph.D.  Purdue University. 2018: 135 pages; 10842952.
27.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
28.
Real-Time Inverse Lighting for Augmented Reality Using a Dodecahedral Marker
by Straughn, Glen K., M.S.  Oklahoma State University. 2018: 57 pages; 10810575.
29.
Prioritized Grammar Enumeration: A novel method for symbolic regression
by Worm, Anthony, Ph.D.  State University of New York at Binghamton. 2016: 180 pages; 10137419.
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