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1.
From card shuffling to random walks on chambers of hyperplane arrangements
by Aboulian, Meghdi, M.S.  University of Southern California. 2010: 55 pages; 1476256.
2.
MR Shuffling: Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging
by Tamir, Jonathan I., Ph.D.  University of California, Berkeley. 2018: 150 pages; 10840304.
3.
Limit theorems for random exponential sums and their applications to insurance and the random energy model
by Erturk, Huseyin, Ph.D.  The University of North Carolina at Charlotte. 2016: 70 pages; 10111893.
5.
Applying Random Forest to Mitigate Cybersecurity Data Breaches in Small Businesses
by Liguori, Patricia Ann, D.Engr.  The George Washington University. 2018: 177 pages; 10928320.
6.
Multiscale modeling of interwoven Kevlar fibers based on random walk to predict yarn structural response
by Recchia, Stephen, Ph.D.  Rutgers The State University of New Jersey - New Brunswick. 2016: 109 pages; 10095960.
7.
Effects of Direct Instruction Common Core Math on Students With Learning Disabilities
by Monye, Joseph Ifeanyi, Ph.D.  Walden University. 2016: 120 pages; 10251535.
9.
The Performance of Random Prototypes in Hierarchical Models of Vision
by Stewart, Kendall Lee, M.S.  Portland State University. 2015: 79 pages; 1605894.
11.
Higher-order Random Walk Methods for Data Analysis
by Wu, Tao, Ph.D.  Purdue University. 2018: 135 pages; 10790747.
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Random testing of open source C compilers
by Yang, Xuejun, Ph.D.  The University of Utah. 2015: 145 pages; 3704288.
14.
Connection between Graphical Potential Games and Markov Random Fields with an Extension to Bayesian Networks
by Wang, Shiyun, M.S.  California State University, Long Beach. 2018: 43 pages; 10785804.
15.
Numerical simulation of the random nucleation and growth model in thin films
by Wang, George, M.S.  California State University, Long Beach. 2015: 84 pages; 1600600.
16.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
17.
The Genesis of Race to the Top: A Case Study of Policy Change
by Dinkes, Rachel, Ph.D.  The George Washington University. 2016: 183 pages; 10043141.
18.
Combinatorial Monte Carlo simulations for the disordered two-dimensional dimer model
by Taha, Ahmed Gamaleldin, Ph.D.  The George Washington University. 2007: 133 pages; 3288839.
19.
Welfare-to-work transition in the TANF era: Evidence from Mississippi
by Zeng, Xuhui, Ph.D.  Mississippi State University. 2011: 199 pages; 3450368.
20.
Dynamics of 2D Potts and Random-Cluster Models
by Gheissari, Reza, Ph.D.  New York University. 2019: 320 pages; 13810437.
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Effects of domain size on transverse permeability through random arrays of cylinders
by Hendrick, Angus Greer, Ph.D.  The University of Arizona. 2013: 152 pages; 3592730.
24.
Evaluation of a social science simulation by uncertainty analysis and comparison
by Brown, Jason T., M.S.  The George Washington University. 2010: 126 pages; 1479820.
25.
Some Issues Related to the Use of Randomized Trials in the Field of Program Evaluation
by Gargani, John Arnold, Ph.D.  University of California, Berkeley. 2011: 84 pages; 3498814.
26.
Scalable Manufactured Random Metamaterial for Sub-ambient Day-time Radiative Cooling
by Zhai, Yao, Ph.D.  University of Colorado at Boulder. 2018: 135 pages; 10844982.
29.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
30.
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.
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