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1.
StochHMM: A Flexible Hidden Markov Model Framework
by Lott, Paul Christian, Ph.D.  University of California, Davis. 2013: 186 pages; 3602142.
2.
Markov switching var model of speculative pressure: An application to the Asian financial crisis
by Vargas, Gregorio A., III, M.Sc.  Singapore Management University (Singapore). 2009: 71 pages; 1483224.
4.
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.
Model Based Clustering Algorithms with Applications
by Wei, Wutao, Ph.D.  Purdue University. 2018: 124 pages; 10830711.
6.
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.
7.
Critical behavior for the model of random spatial permutations
by Kerl, John, Ph.D.  The University of Arizona. 2010: 206 pages; 3402085.
8.
Taxonomic assignment of gene sequences using hidden Markov models
by Huang, Huanhua, M.S.  Northern Arizona University. 2014: 54 pages; 1563863.
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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.
12.
Using Social Dynamics to Make Individual Predictions: Variational Inference with Stochastic Kinetic Model
by Xu, Zhen, Ph.D.  State University of New York at Buffalo. 2016: 118 pages; 10253123.
13.
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.
14.
First order decision diagrams for decision theoretic planning
by Joshi, Saket, Ph.D.  Tufts University. 2010: 190 pages; 3427479.
15.
Efficient Markov Chain Monte Carlo Methods
by Fang, Youhan, Ph.D.  Purdue University. 2018: 107 pages; 10809188.
16.
Dynamics of 2D Potts and Random-Cluster Models
by Gheissari, Reza, Ph.D.  New York University. 2019: 320 pages; 13810437.
17.
Dynamic compromise and political institutions
by Bowen, Tamara Renee, Ph.D.  Georgetown University. 2008: 131 pages; 3339911.
18.
General Purpose MCMC Sampling for Bayesian Model Averaging
by Boyles, Levi Beinarauskas, Ph.D.  University of California, Irvine. 2014: 129 pages; 3631086.
19.
Joint Modeling of Longitudinal Count and Binary Data Using Latent Variable Approaches
by Jackson, John C., Ph.D.  The George Washington University. 2011: 123 pages; 3465423.
20.
Interactive Multiple Model Estimation for Unmanned Aircraft Systems Detect and Avoid
by Canolla, Adriano, Ph.D.  Illinois Institute of Technology. 2018: 129 pages; 13419136.
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Using a model of human cognition of causality to orient arcs in structural learning
by Vang, Jee, Ph.D.  George Mason University. 2008: 267 pages; 3343811.
23.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
25.
Cellular Automata, Game of Life and Chance
by Alvandipour, Mehrdad, M.S.  Southern Illinois University at Edwardsville. 2017: 43 pages; 10615332.
26.
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.
28.
Geospatial Data and Fishery Management: Innovative Modelling Approaches
by Depalle, Maxime, Ph.D.  University of California, Davis. 2018: 203 pages; 10842024.
29.
Distribution Matching Methods for Parameter Estimation and Model Selection in Computational Biology
by Lillacci, Gabriele, Ph.D.  University of California, Santa Barbara. 2012: 252 pages; 3545071.
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