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Markov models
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471	0.1 factor.mix: Mixed Data Factor Analysis Mixed data factor analysis takes both continuous and ordinal dependent variables and estimates a model for a given number of latent factors. The model is estimated using a Mark Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Markov models Markov processes Multivariate statistics Abstract algebra Linear algebra Markov chain Factor analysis Gibbs sampling Matrix Statistics Algebra Mathematics
472	MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-06-26 03:31:11 Bayesian statistics Graphical models Estimation theory Expectation–maximization algorithm Mixture model Hidden Markov model Latent variable Markov chain Bayesian network Statistics Statistical models Markov models
473	On-the-Fly Exact Computation of Bisimilarity Distances Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare Dept. of Computer Science, Aalborg University Quantitative Models: Expressiveness, Analysis, and New Appl Add to Reading List Source URL: people.cs.aau.dk Language: English - Date: 2014-06-10 09:27:45 Markov models Mathematics Probabilistic bisimulation Markov chain Bisimulation Mathematical sciences Markov Theoretical computer science Applied mathematics Markov processes
474	Econometric Analysis and Prediction of Recurrent Events∗ Adrian Pagan and Don Harding June 17, 2011 Contents Add to Reading List Source URL: creates.au.dk Language: English - Date: 2011-09-21 09:16:02 Markov models Markov chain Statistical models Psychometrics Macroeconomics Latent variable Macroeconomic model Correlation and dependence Function Mathematical analysis Mathematics Statistics
475	Implementing Approximate inference for Latent Gaussian Markov Random Field Models: the INLA package for R. Add to Reading List Source URL: www.bias-project.org.uk Language: English - Date: 2008-09-30 06:03:13 Irish National Liberation Army Irregular military Military organization
476	NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Marginal Variances for Gaussian Markov Random Fields by Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2005-03-14 10:30:29 Matrices Numerical linear algebra Markov models Cholesky decomposition Operator theory Matrix Kalman filter Symmetric matrix Positive-definite matrix Algebra Linear algebra Mathematics
477	Simulating the traffic congestion in a container terminal. The experience of the port of Naples (Italy) M. Veloqui, I. Turias, M. M. Cerbán, M. J. González, G. Buiza, J. Beltrán Add to Reading List Source URL: inte-transit.eu Language: English - Date: 2015-02-16 07:07:05 Probability and statistics Queueing theory Operations research Queueing model Statistics Stochastic processes Markov models
478	Microsoft Word - MBreport 2009_def.doc Add to Reading List Source URL: www.eurandom.tue.nl Language: English - Date: 2010-06-09 04:33:58 Education Stochastic processes Markov processes Onno J. Boxma Queueing theory Michel Mandjes Eindhoven University of Technology Eindhoven Professor Statistics Markov models Probability and statistics
479	PDF Document Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2009-10-20 08:16:05 Probability and statistics Markov chain Probability theory Metropolis–Hastings algorithm Detailed balance Harris chain Statistics Markov models Markov processes
480	Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George E. Dahl, Marc’Aurelio Ranzato, Abdel-rahman Mohamed, and Geoffrey Hinton Department of Computer Science University of Toronto {gdahl, ranza Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-10-31 17:33:50 Markov models Statistical models Data analysis Neural networks Speech recognition Hidden Markov model Boltzmann machine Principal component analysis Covariance matrix Statistics Probability and statistics Machine learning

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