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Probability and statistics
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461	1. Ruin probability for L´ evy processes. 2. Application. Ruin probability for Risk reserve process. Ruin probability for a process with Add to Reading List Source URL: www.eurandom.tue.nl Language: English - Date: 2009-03-23 10:55:30 Probability and statistics Markov models Poisson processes Markov chain Probability distribution Probability Statistics Stochastic processes Markov processes
462	THIS APPENDIX WAS REFEREED AS PART OF THE PUBLISHED VERSION OF THE “HUNT FOR PARTY DISCIPLINE” AT THE AMERICAN POLITICAL SCIEN Add to Reading List Source URL: www.voteview.com Language: English - Date: 2012-06-14 10:25:57 Monte Carlo method Applied mathematics Mathematics Electronic voting Information society Probability and statistics
463	nocommit_revision_final.dvi Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:57 Probability and statistics Stochastic differential equations Markov processes Dynamic programming Markov chain Lars Peter Hansen Bellman equation Filtering problem Kalman filter Statistics Control theory Markov models
464	MFE 237H: Quantitative Asset Management Notes on Minimum Variance Portfolios Professor Jason Hsu UCLA Anderson School of Management Minimum Variance Portfolio Add to Reading List Source URL: www.jasonhsu.org Language: English - Date: 2012-05-28 17:50:29 Summary statistics Matrices Probability theory Variance Covariance Sample mean and sample covariance SAS Multivariate random variable Principal component analysis Statistics Covariance and correlation Data analysis
465	arXiv:1301.4168v2 [cs.LG] 16 MarHerded Gibbs Sampling Luke Bornn Harvard University Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-04-19 06:38:10 Applied mathematics Statistical mechanics Markov chain Monte Carlo Gibbs sampling Monte Carlo methods Conditional random field Gibbs algorithm Markov chain Viterbi algorithm Statistics Probability and statistics Markov models
466	TEMPORAL MODELING OF SLIDE CHANGE IN PRESENTATION VIDEOS Quanfu Fan (1), Arnon Amir (2), Kobus Barnard (1), Ranjini Swaminathan (1) and Alon EfratDepartment of Computer Science, University of Arizona, Tucson AZ8 Add to Reading List Source URL: kobus.ca Language: English - Date: 2010-04-23 02:03:49 Viterbi algorithm Statistics Probability and statistics Markov models Bioinformatics Hidden Markov model
467	THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 Structure Learning in Markov Random Fields Sridevi Parise Bren School of Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-09-04 17:32:02 Probability theory Estimation theory Graphical models Marginal likelihood Expectation–maximization algorithm Variational Bayesian methods Normal distribution Maximum likelihood Bayesian network Statistics Bayesian statistics Statistical theory
468	Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study Sanjiv Kumar, Jonas August, and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:53 Graphical models Bayesian statistics Probability theory Maximum likelihood Likelihood function Conditional random field Belief propagation Statistics Estimation theory M-estimators
469	THIS APPENDIX WAS REFEREED AS PART OF THE PUBLISHED VERSION OF THE “HUNT FOR PARTY DISCIPLINE” AT THE AMERICAN POLITICAL SCIEN Add to Reading List Source URL: voteview.com Language: English - Date: 2012-06-14 10:25:57 Monte Carlo method Applied mathematics Mathematics Electronic voting Information society Probability and statistics
470	Representativity Indicators for Survey Quality Q2010 – R-indicators and Fieldwork Monitoring (draft) Koen Beullens & Geert Loosveldt Katholieke Universiteit Leuven Add to Reading List Source URL: www.risq-project.eu Language: English - Date: 2010-05-04 05:49:06 Science Bias Evaluation methods Psychometrics Response rate Propensity probability Non-response bias Statistics Sampling Survey methodology

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