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31.
General Purpose MCMC Sampling for Bayesian Model Averaging
by Boyles, Levi Beinarauskas, Ph.D.  University of California, Irvine. 2014: 129 pages; 3631086.
32.
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.
33.
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.
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36.
Machine-Learning Methods for Credit Card Fraud Detection
by Woolston, Sarah E., M.S.  California State University, Long Beach. 2017: 100 pages; 10602012.
37.
First order decision diagrams for decision theoretic planning
by Joshi, Saket, Ph.D.  Tufts University. 2010: 190 pages; 3427479.
38.
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.
39.
New methods in theory & applications of nonlinear filtering
by Papanicolaou, Andrew, Ph.D.  Brown University. 2010: 136 pages; 3430207.
40.
Design and Optimization of Linkage-Based Movable Bridge Forms
by Thrall, Ashley Parkinson, Ph.D.  Princeton University. 2011: 253 pages; 3459193.
41.
Niche theory and the persistence of populations: applications to competitive communities and an infectious disease
by Carroll, Ian Thomas, Ph.D.  University of California, Santa Barbara. 2012: 151 pages; 3545029.
43.
Designing a Robust Supply Chain Network Against Disruptions
by Pariazar, Mahmood, Ph.D.  University of Missouri - Columbia. 2013: 152 pages; 13877160.
44.
Tuning coercivity via iron chains in phthalocyanine thin films
by Werber, Mathew Stephen, M.S.  California State University, Long Beach. 2013: 89 pages; 1523066.
45.
The Effect of Chains on Power Characteristics in the Hexagonal Barbell Deadlift
by Thomson, Michael, M.S.  California State University, Long Beach. 2018: 58 pages; 10840984.
46.
Examining Critical Material Supply Chains Through a Bayesian Network Model
by Kling, Joseph A., D.Engr.  The George Washington University. 2018: 110 pages; 10928265.
47.
How can companies within global value chains capture value from innovations?
by Tsai, Kun-Ming KM, D.M.  University of Maryland University College. 2010: 150 pages; 3494569.
49.
Critical behavior for the model of random spatial permutations
by Kerl, John, Ph.D.  The University of Arizona. 2010: 206 pages; 3402085.
50.
Measuring and Modeling the Effect of PCB Bioavailability on Accumulation in Aquatic Food Chains
by Fadaei Khoei, Hilda, Ph.D.  University of Maryland, Baltimore County. 2017: 247 pages; 10635155.
52.
Morphological characteristics of iron phthalocyanine thin films and magnetic properties of quasi one-dimensional iron chains
by Silverstein, Evan Asher, M.S.  California State University, Long Beach. 2010: 69 pages; 1486464.
55.
The Role of Trust and Collaboration toward Innovation in Outsourced Manufacturing Supply Chains: A Systematic Review
by Mallett, Brian, D.Mgt.  University of Maryland University College. 2017: 122 pages; 10686030.
56.
Twelve-Tone Cartography: Space, Chains, and Intimations of "Tonal" Form in Anton Webern's Twelve-Tone Music
by Moseley, Brian Christopher, Ph.D.  City University of New York. 2013: 367 pages; 3601934.
59.
Behavioral modeling of botnet populations viewed through internet protocol address space
by Weaver, Rhiannon Lisa, Ph.D.  Carnegie Mellon University. 2012: 204 pages; 3528576.
60.
Robust Light Transport Simulation using Progressive Density Estimation
by Hachisuka, Toshiya, Ph.D.  University of California, San Diego. 2011: 209 pages; 3473619.
31 - 60 of 8053 displayed.
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