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1.
Efficient Markov Chain Monte Carlo Methods
by Fang, Youhan, Ph.D.  Purdue University. 2018: 107 pages; 10809188.
2.
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.
3.
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.
5.
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.
6.
Higher-order Random Walk Methods for Data Analysis
by Wu, Tao, Ph.D.  Purdue University. 2018: 135 pages; 10790747.
9.
A Score Minimizing Vertex Partitioning Algorithm Using Simulated Annealing
by Simone, Nicholas S., M.A.  Saint Louis University. 2019: 75 pages; 27671208.
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Cellular Automata, Game of Life and Chance
by Alvandipour, Mehrdad, M.S.  Southern Illinois University at Edwardsville. 2017: 43 pages; 10615332.
13.
Structural Complexity in Stationary Stochastic Dynamical Systems
by Ellison, Christopher James, Ph.D.  University of California, Davis. 2011: 182 pages; 3482120.
14.
Critical behavior for the model of random spatial permutations
by Kerl, John, Ph.D.  The University of Arizona. 2010: 206 pages; 3402085.
15.
New methods in theory & applications of nonlinear filtering
by Papanicolaou, Andrew, Ph.D.  Brown University. 2010: 136 pages; 3430207.
16.
Designing a Robust Supply Chain Network Against Disruptions
by Pariazar, Mahmood, Ph.D.  University of Missouri - Columbia. 2013: 152 pages; 13877160.
17.
Taxonomic assignment of gene sequences using hidden Markov models
by Huang, Huanhua, M.S.  Northern Arizona University. 2014: 54 pages; 1563863.
18.
StochHMM: A Flexible Hidden Markov Model Framework
by Lott, Paul Christian, Ph.D.  University of California, Davis. 2013: 186 pages; 3602142.
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Calibration of Thermal Soil Properties in the Shallow Subsurface
by Fregosi, Anna, Ph.D.  North Carolina State University. 2015: 191 pages; 10110538.
22.
High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems
by Cao, Hongfei, Ph.D.  University of Missouri - Columbia. 2015: 121 pages; 13877134.
23.
Minimalist multi-agent filtering and guidance
by Bobadilla Molina, Jaime Leonardo, Ph.D.  University of Illinois at Urbana-Champaign. 2013: 141 pages; 3614523.
24.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
25.
Robust Light Transport Simulation using Progressive Density Estimation
by Hachisuka, Toshiya, Ph.D.  University of California, San Diego. 2011: 209 pages; 3473619.
26.
General Purpose MCMC Sampling for Bayesian Model Averaging
by Boyles, Levi Beinarauskas, Ph.D.  University of California, Irvine. 2014: 129 pages; 3631086.
27.
Multimedia protection using content and embedded fingerprints
by Varna, Avinash Laxmisha, Ph.D.  University of Maryland, College Park. 2011: 208 pages; 3461319.
28.
Dynamics of 2D Potts and Random-Cluster Models
by Gheissari, Reza, Ph.D.  New York University. 2019: 320 pages; 13810437.
29.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
30.
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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