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Stochastic matrix
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61	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
62	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
63	Journal of Artificial Intelligence Research473 Submitted 12/12; publishedDecentralized Anti-coordination Through Multi-agent Learning Add to Reading List Source URL: liawww.epfl.ch Language: English - Date: 2013-08-22 04:47:19 Markov processes Probability and statistics Markov chain Nash equilibrium Markov property Stochastic matrix Strategy Correlated equilibrium Randomized algorithm Game theory Markov models Statistics
64	Phase-Type Distributions for Competing Risks Bo Henry Lindqvist Norwegian University of Science and Technology, Trondheim, NORWAY e-mail: Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Regression analysis Statistical models Econometrics Markov chain Phase-type distribution Proportional hazards models Expectation–maximization algorithm Stochastic matrix Gibbs sampling Statistics Markov models Markov processes
65	Advances in Modeling and Inference for Environmental Processes with Nonstationary Spatial Covariance Paul Sampson Doris Damian Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-06-20 17:12:01 Spatial data analysis Stochastic processes Time series analysis Variogram Kriging Covariance function Gaussian process Covariance matrix Covariance Statistics Geostatistics Covariance and correlation
66	Efficient Stochastic Methods: Profiled Attacks Beyond 8 Bits Marios O. Choudary and Markus G. Kuhn Computer Laboratory, University of Cambridge, Cambridge, UK {osc22,mgk25}@cl.cam.ac.uk Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2015-04-03 10:30:53 Multivariate statistics Linear algebra Singular value decomposition Data analysis Matrix theory Principal component analysis Linear discriminant analysis Eigenvalues and eigenvectors Multivariate normal distribution Algebra Statistics Mathematics
67	A Computational Efficient Covariance Matrix Update and a (1+1)-CMA for Evolution Strategies Christian Igel Thorsten Suttorp Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-08-26 07:00:39 Evolutionary algorithms Matrices Covariance and correlation Algebra of random variables Stochastic optimization CMA-ES Evolution strategy Cholesky decomposition Multivariate normal distribution Algebra Statistics Mathematics
68	Lecture Notes on Random Walks Lecturer: Jon Kleinberg Scribed by: Kate Jenkins, Russ Woodroofe 1 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2007-11-29 21:47:54 Markov models Matrices Markov processes Matrix theory Algebraic graph theory Markov chain Eigenvalues and eigenvectors Random walk Stochastic matrix Algebra Mathematics Linear algebra
69	Web Communities Identification from Random Walks Jiayuan Huang1,2 , Tingshao Zhu2 , and Dale Schuurmans2 1 2 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-07-19 01:06:55 Stochastic processes Adjacency matrix Matrices Graph partition Random walk Graph Connectivity Vertex Line graph Graph theory Mathematics Algebraic graph theory
70	Graph fibrations, graph isomorphism, and PageRank Paolo Boldi∗ Violetta Lonati Massimo Santini Sebastiano Vigna Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano Abstract PageRank is a rank Add to Reading List Source URL: vigna.di.unimi.it Language: English - Date: 2006-09-12 11:31:23 Algebra Markov processes Matrices Markov chain Perron–Frobenius theorem Tree PageRank Graph Stochastic matrix Graph theory Mathematics Markov models

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