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Markov models
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#	Item
861	CAM Centre for Applied Microeconometrics Department of Economics University of Copenhagen http://www.econ.ku.dk/CAM/ Add to Reading List Source URL: www.econ.ku.dk Language: English - Date: 2011-10-17 16:55:14 Economics Stochastic processes Markov chain Homogeneity and heterogeneity Martin Browning Heterogeneity Macroeconomic model Agent Economic model Statistics Markov models Markov processes
862	Loopy Belief Propagation in the Presence of Determinism David Smith The University of Texas at Dallas Richardson, TX, 75080, USA Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-02-25 21:05:54 Probability theory Networks Statistical models Probability and statistics Mathematics Markov random field Belief propagation Bayesian network Graphical models Statistics Bayesian statistics
863	Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees Tahrima Rahman, Prasanna Kothalkar, and Vibhav Gogate Computer Science Department The University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-06-28 05:36:53 Graph theory Networks Bayesian statistics Statistical models Probability theory Bayesian network Chow-Liu tree Spanning tree Markov random field Statistics Graphical models Mathematics
864	Applications of Latent Variable Models in Modeling Influence and Decision Making Sean M. Gerrish A Dissertation Add to Reading List Source URL: www.seangerrish.com Language: English - Date: 2014-12-29 14:13:12 Bioinformatics Hidden Markov model Natural language processing Topic model Artificial intelligence Machine learning Statistical natural language processing Science
865	EE365 Stochastic Control / MS&E251 Stochastic Decision Models Profs. S. Lall, S. Boyd June 5–6 or June 6–7, 2013 Final exam solutions Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-06-03 18:01:21 Markov models Markov decision process Stochastic control Markov chain Normal distribution Statistics Markov processes Dynamic programming
866	FAST GREEKS FOR MARKOV-FUNCTIONAL MODELS USING ADJOINT PDE METHODS NICK DENSON AND MARK JOSHI Abstract. This paper demonstrates how the adjoint PDE method can be used to compute Greeks in Markov-functional models. This i Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2013-08-05 02:21:40 Operator theory Differential equations Multivariable calculus Partial differential equation Black–Scholes Eigenvalues and eigenvectors Hermitian adjoint Borel functional calculus Algebra Mathematics Mathematical analysis
867	Queue-Management Architecture for Delay Tolerant Networking Sotirios-Angelos Lenas, Stylianos Dimitriou, Fani Tsapeli, Vassilis Tsaoussidis Space Internetworking Center (SPICE), ECE Department, Democritus University of T Add to Reading List Source URL: www.intersys-lab.org Language: English - Date: 2011-10-04 23:29:16 Computing Operations research Queueing theory Markov models Stochastic processes Fair queuing FIFO Queuing delay Low Latency Queuing Scheduling algorithms Statistics Network performance
868	Random load models for use in stochastic fatigue life assessment -- some unpredicted consequences of Bertram Broberg's urge to understand Add to Reading List Source URL: www.maths.lth.se Language: English - Date: 2012-03-26 05:27:57 Broberg Random walk Markov chain Fatigue Statistics Markov models Stochastic processes
869	RATES OF CONVERGENCE FOR GIBBS SAMPLER AND OTHER MARKOV CHAINS A thesis presented by Jeffrey Seth Rosenthal Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:23:42 Markov processes Random walk Gibbs sampling Markov chain Algorithm Statistics Markov models Stochastic processes
870	J. R. Statist. Soc. B, Part 2, pp. 319–392 Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2011-12-21 15:18:36 Estimation theory Markov models Probability theory Variational Bayesian methods Mixture model Normal distribution Marginal likelihood Deviance information criterion Gaussian process Statistics Probability and statistics Bayesian statistics

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