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Markov models
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#	Item
561	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
562	BMC Medical Informatics and Decision Making BioMed Central Open Access Add to Reading List Source URL: cs.anu.edu.au Language: English - Date: 2003-03-07 19:57:38 Statistics Computer algebra Data management Record linkage Hidden Markov model Data structure Sherlock Holmes Speech recognition Data cleansing Markov models Science Medicine
563	Learning Continuous Time Bayesian Networks Uri Nodelman Stanford University Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Markov models Bayesian network Networks Markov chain Conjugate prior Gamma distribution Exponential family Bayesian inference Sufficient statistic Statistics Bayesian statistics Statistical theory
564	Multilingual text entry using automatic language detection Add to Reading List Source URL: mt-archive.info Language: English - Date: 2008-10-21 11:52:50 Computational linguistics Probability Speech recognition Corpus linguistics Discourse analysis N-gram Japanese input methods Multilingualism Natural language processing Linguistics Markov models Science
565	A Distance Model for Rhythms Jean-Fran¸ cois Paiement Yves Grandvalet IDIAP Research Institute, Case Postale 592, CH-1920 Martigny, Switzerland Add to Reading List Source URL: bengio.abracadoudou.com Language: English - Date: 2008-06-27 10:33:55 Dynamic programming Bioinformatics Estimation theory Hidden Markov model Machine learning Levenshtein distance Expectation–maximization algorithm Mixture model Statistics Probability and statistics Markov models
566	Bayesian Learning of Recursively Factored Environments Marc Bellemare Joel Veness Michael Bowling University of Alberta, Edmonton, Canada, T6G 2E8 Add to Reading List Source URL: jveness.info Language: English - Date: 2013-05-27 08:48:20 Science Graphical model Hidden Markov model Factorization Dynamic programming Recursion Mathematics Statistics Markov models
567	New Paper for J Math Phys on Networks and Markov Monoid Add to Reading List Source URL: netmetrics.asg.sc.edu Language: English - Date: 2007-04-27 13:40:28 Markov models Matrices Philosophy of thermal and statistical physics Statistical theory Entropy Matrix Eigenvalues and eigenvectors Rényi entropy Diagonalizable matrix Algebra Mathematics Information theory
568	Private Client-Side Profiling with Random Forests and Hidden Markov Models George Danezis1 , Markulf Kohlweiss1 , Benjamin Livshits1 , and Alfredo Rial2 1 2 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-06-02 16:07:22 Zero-knowledge proof Proof of knowledge IP Mathematical proof Markov chain Commitment scheme Alice and Bob Random oracle Digital signature Cryptography Cryptographic protocols Public-key cryptography
569	THRESHOLD HETEROSCEDASTICITY 1 On Conditionally Heteroscedastic AR Models with Thresholds Kung-Sik Chan, Dong Li, Shiqing Ling and Howell Tong Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2012-07-03 22:05:22 Estimation theory Regression analysis Heteroscedasticity Autoregressive conditional heteroskedasticity Markov chain Variance Maximum likelihood Conditional variance Statistics Econometrics Time series analysis
570	A primer for data assimilation with ecological models using Markov Chain Monte Carlo (MCMC) J. M. Zobitz, A. R. Desai, D. J. P. Moore & M. A. Chadwick Add to Reading List Source URL: ccr.meteor.wisc.edu Language: English - Date: 2012-08-14 09:49:09 Monte Carlo methods Model selection Computational statistics Data assimilation Ensemble Kalman filter Deviance information criterion Least squares Ecosystem model Parameter Statistics Bayesian statistics Estimation theory

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