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1.
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.
2.
Cellular Automata, Game of Life and Chance
by Alvandipour, Mehrdad, M.S.  Southern Illinois University at Edwardsville. 2017: 43 pages; 10615332.
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Conditions for deterministic limits of markov jump processes: The Kurtz theorem in chemistry
by Sedova, Ada, M.A.  State University of New York at Albany. 2015: 133 pages; 1588003.
4.
Higher-order Random Walk Methods for Data Analysis
by Wu, Tao, Ph.D.  Purdue University. 2018: 135 pages; 10790747.
5.
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.
6.
Detecting, modeling and rendering complex configurations of curvilinear features
by Parilov, Evgueni, Ph.D.  New York University. 2008: 317 pages; 3342392.
8.
Critical behavior for the model of random spatial permutations
by Kerl, John, Ph.D.  The University of Arizona. 2010: 206 pages; 3402085.
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Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
11.
Dynamics of 2D Potts and Random-Cluster Models
by Gheissari, Reza, Ph.D.  New York University. 2019: 320 pages; 13810437.
12.
On mixing rates for random perturbations
by Zhikun, Du, Ph.D.  National University of Singapore (Singapore). 2015: 134 pages; 10005996.
13.
Remote Homology Detection in Proteins Using Graphical Models
by Daniels, Noah Manus, Ph.D.  Tufts University. 2013: 122 pages; 3563611.
14.
Efficient image restoration algorithms for near-circulant systems
by Pan, Ruimin, Ph.D.  Auburn University. 2007: 130 pages; 3265586.
15.
The development of a convergence diagnostic for Markov chain Monte Carlo estimation
by Burke, Matthew Joseph, Ph.D.  The University of North Carolina at Greensboro. 2011: 282 pages; 3490550.
16.
Mathematical analysis of Markov models for social processes
by Whitmeyer, Joseph M., Ph.D.  The University of North Carolina at Charlotte. 2010: 50 pages; 3439279.
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Analysis of clickstream modeling using a Continuous Time Finite State Markov Chain
by Tjiputra, Jeff, D.Sc.  The George Washington University. 2008: 93 pages; 3315048.
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Efficient Markov Chain Monte Carlo Methods
by Fang, Youhan, Ph.D.  Purdue University. 2018: 107 pages; 10809188.
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Methods for advancing automobile research with energy-use simulation
by Geller, Benjamin M., Ph.D.  Colorado State University. 2014: 203 pages; 3635614.
24.
Invariance Principle for Diffusions in Degenerate and Unbounded Random Environment
by Chiarini, Alberto, Dr.Nat.  Technische Universitaet Berlin (Germany). 2015: 125 pages; 10702063.
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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.
27.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
28.
Thermodynamics of Correlations and Structure in Information Engines
by Boyd, Alexander Blades, Ph.D.  University of California, Davis. 2018: 222 pages; 10689139.
29.
A Novel Global Pattern Recognition Algorithm
by Stoffa, Joseph M., Ph.D.  West Virginia University. 2010: 185 pages; 3448238.
30.
From card shuffling to random walks on chambers of hyperplane arrangements
by Aboulian, Meghdi, M.S.  University of Southern California. 2010: 55 pages; 1476256.
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