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Markov chain
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51	Learning Symmetric Relational Markov Random Fields A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:33 Graphical models Statistics Probability Statistical theory Variable elimination Markov random field Markov chain Belief propagation Conceptual model Bayesian network Deep learning
52	Journal of Web Engineering, Vol. 0, No–000 c Rinton Press The Static Absorbing Model for the Weba Add to Reading List Source URL: terrierteam.dcs.gla.ac.uk Language: English - Date: 2010-03-05 12:05:34 Markov models Probability theory Probability Statistics Markov chain PageRank Bayesian network Random walk Stochastic matrix Matrix Automatic summarization Discrete phase-type distribution
53	Fluid Approximation for Stochastic Model Checking Jane Hillston joint work with Luca Bortolussi Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-11-02 11:12:32 Probability theory Stochastic processes Statistics Probability Markov models Markov processes Statistical models Stochastic simulation Markov chain Fluid queue Economic model Stochastic
54	Introduction Model Analysis Tool Support Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2007-05-30 12:50:22 Markov models Markov processes Statistics Graph theory Markov chain Data Jane Hillston Laboratory for Foundations of Computer Science Chain Stochastic process Stochastic Computing
55	Microsoft PowerPoint - Alizadeh_Nomikos_Pouliasis.ppt Add to Reading List Source URL: www.bbk.ac.uk Language: English - Date: 2007-03-27 13:46:56 Mathematical finance Applied mathematics Finance Money Markov chain Autoregressive conditional heteroskedasticity Volatility Futures contract Hedge Value at risk
56	Introduction Population Models Delayed Population Models Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-11-02 11:12:32 Markov processes Markov models Metaphysics Philosophy Graph theory Markov chain Determinism Economic model Hillston New South Wales Scientific modelling Probability
57	Vol. 24 ECCB 2008, pages i160–i166 doi:bioinformatics/btn282 BIOINFORMATICS Efﬁcient representation and P-value computation for Add to Reading List Source URL: pbil.univ-lyon1.fr Language: English - Date: 2008-10-22 02:35:22 Statistics Probability Machine learning Markov models Statistical models Bioinformatics Estimation theory Graph theory Markov chain Dynamic programming Bayesian network Sequence motif
58	Assessing Goodness-of-fit in Hidden Markov Models Andrew Titman Lancaster University October 18, 2012 Add to Reading List Source URL: www.maths.lancs.ac.uk Language: English - Date: 2012-10-16 12:38:15 Markov models Probability theory Probability Mathematical analysis Markov processes Stochastic processes Bioinformatics Hidden Markov model Markov chain Markov property Time series Ergodicity
59	iParameterEstimation User Guide Bob Zimmermann Washington University in St. Louis Box 1045 One Brookings Drive St. Louis, MO 63130 Add to Reading List Source URL: mblab.wustl.edu Language: English - Date: 2012-03-01 15:55:40 Markov models Statistics Estimation theory Applied mathematics Hidden Markov model Parameter Expectationmaximization algorithm Markov chain HTML element Maximum likelihood estimation
60	Learning Continuous-Time Social Network Dynamics Yu Fan University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Statistics Estimation theory Markov models Statistical theory Statistical models Regression analysis Bayesian network Gibbs sampling Markov chain Expectationmaximization algorithm Parameter Mathematical model