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Markov models
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#	Item
721	Conditional Random Fields: An Introduction∗ Hanna M. Wallach February 24, 2004 1 Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2004-09-21 19:00:07 Probability theory Statistical theory Graphical models Bayesian statistics Machine learning Conditional random field Hidden Markov model Markov random field Information theory Statistics Probability and statistics Probability
722	Phase type distributions for competing risks Bo Henry Lindqvist* Norwegian University of Science and Technology, Trondheim, Norway Phase-type distributions represent the time to absorption for a finite st Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Markov chain Phase-type distribution Expectation–maximization algorithm Estimation theory Stochastic matrix Monte Carlo method Discrete phase-type distribution Statistics Markov models Probability and statistics
723	The Principal Components Analysis of a Graph, and its Relationships to Spectral Clustering Marco Saerens1 , Francois Fouss1 , Luh Yen1 & Pierre Dupont2 1 Information Systems Research Unit, IAG, Universit´e catholique d Add to Reading List Source URL: outobox.cs.umn.edu Language: English - Date: 2009-02-09 00:07:10 Algebraic graph theory Matrices Singular value decomposition Markov models Multivariate statistics Graph partition Laplacian matrix Eigenvalues and eigenvectors Adjacency matrix Algebra Mathematics Graph theory
724	Computing Posterior Probabilities of Structural Features in Bayesian Networks Jin Tian and Ru He Department of Computer Science Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2009-05-28 00:58:31 Networks Statistical theory Numerical analysis Bayesian network Bayesian inference XTR Markov chain Discretization Forward–backward algorithm Statistics Bayesian statistics Markov models
725	mar253_20_20208.qxd:27 AM Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2010-10-13 00:38:24 Probability and statistics Political philosophy Scheduling algorithms Operations research FIFO The Queue Queueing theory Queueing model Queue Statistics Markov models Stochastic processes
726	Moyal Lecture : 3 Nov., 2006 Markov Chains as Models in Statistical Mechanics. Eugene Seneta Add to Reading List Source URL: maths.mq.edu.au Language: English - Date: 2014-08-14 21:51:46 Probability and statistics Markov chain Ehrenfest model Markov property Stochastic matrix Entropy Urn problem Random walk Ludwig Boltzmann Statistics Markov models Markov processes
727	Generating Markov Equivalent Maximal Ancestral Graphs by Single Edge Replacement Jin Tian Department of Computer Science Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-06-01 16:14:08 Bayesian statistics Statistical models Networks Ancestral graph Bayesian network M-separation Graph Directed graph Markov random field Graph theory Graphical models Statistics
728	Principled Sampling for Anomaly Detection Brendan Juba Washington University in St. Louis Abstract—Anomaly detection plays an important role in protecting computer systems from unforeseen attack b Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2014-12-05 16:34:02 Markov models Link analysis PageRank Search engine optimization Normal distribution Sampling Google Search Statistical hypothesis testing Sample size determination Statistics Design of experiments Hypothesis testing
729	HERD: The Highest Expected Reward Decoding for HMMs with Application to Recombination Detection ˇ Brejová Brona Department of Computer Science Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2010-08-20 17:45:42 Statistics Viterbi algorithm Probability and statistics Hidden Markov model Forward–backward algorithm Pointwise Mathematics Annotation Markov models Error detection and correction Dynamic programming
730	Multiple Imputation of Missing Values in Economic Surveys: Comparison of Competing Algorithms Masayoshi Takahashi* National Statistics Center, Tokyo, Japan Takayuki Ito National Statistics Center, Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:38:58 Markov models Computational statistics Imputation Monte Carlo methods Markov chain Monte Carlo Expectation–maximization algorithm Markov chain Bootstrapping SPSS Statistics Data analysis Missing data

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