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Electronic Theses & Dissertations
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Bayesian statistical decision theory
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Biological systems--Mathematical models
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Dynamic programming
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Large scale systems--Mathematical models
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Hierarchical learning and planning in partially observable Markov decision processes
Theocharous, Georgios
Text (2002)
Part of
Electronic Theses & Dissertations
The development and test of a Markov chain model of the need hierarchy concept
Rauschenberger, John Michael
Text (1978)
Part of
Electronic Theses & Dissertations
Transition path theory and transition state
Du, Jun (Graduate of Michigan State University)
Text (2019)
Part of
Electronic Theses & Dissertations
Multidimensional item response theory : an investigation of interaction effects between factors on item parameter recovery using Markov Chain Monte Carlo
Lee, Jonghwan
Text (2012)
Part of
Electronic Theses & Dissertations
Testing the three-stage model of second language skill acquisition
Maie, Ryo
Text (2022)
Part of
Electronic Theses & Dissertations
A statistical theory of polymer compositions based on absorbing Markov chains
Lowry, George Gordon
Text (1963)
Part of
Electronic Theses & Dissertations
On the convergence of the Gauss-Galerkin method for the density of some Markov processes
Haj Jafar, Ali
Text (1984)
Part of
Electronic Theses & Dissertations
Modeling of singularly perturbed systems with application to Markov chains
Aldhaheri, Rabah Wasel
Text (1988)
Part of
Electronic Theses & Dissertations
Estimating parameters for multidimensional item response theory models by MCMC methods
Jiang, Yanlin
Text (2005)
Part of
Electronic Theses & Dissertations
Bayesian decision making and learning for continuous-time Markov systems
Panayirci, Erdal, 1941-
Text (1970)
Part of
Electronic Theses & Dissertations
Evaluation and improvement of the HMM by state-space modeling
Lee, Yong-Beom
Text (2000)
Part of
Electronic Theses & Dissertations
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