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Conditional probability
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131	Supplemental Information 1. Appendix 1: Different definitions of cooperativity The MWC model features several interesting features in its most general form: i) indirect regulation and ii) cooperativity. There are severa Add to Reading List Source URL: www.rpgroup.caltech.edu Language: English - Date: 2013-12-19 21:13:26 Probability and statistics Mutual information Cooperative binding Entropy Kullback–Leibler divergence Conditional entropy Normal distribution Channel capacity Conditional probability Information theory Statistics Information
132	An automatic report for the dataset : 10-sulphuric The Automatic Statistician Abstract This report was produced by the Automatic Bayesian Covariance Discovery Add to Reading List Source URL: automaticstatistician.com Language: English - Date: 2014-07-15 07:06:44 Bayesian statistics Time series analysis Probability theory Variance Autoregressive conditional heteroskedasticity Prior probability Explained variation Statistics Data analysis Regression analysis
133	Ling 289 Homework #1 Due Wed 3 October 2007 These are meant to be not-too-difficult questions to help you understand important conceptsConceptual side issue: We’re meant to have only covered probabilities, not Add to Reading List Source URL: www-nlp.stanford.edu Language: English - Date: 2007-10-03 16:41:31 Measurement Conditional probability Conditionals Probability Expected value Markov models Probability theory Statistics Probability and statistics
134	CLASSIFICATION AND RECOGNITION WITH DIRECT SEGMENT MODELS Geoffrey Zweig Microsoft Research ABSTRACT Segment based direct models have recently been used to improve the output of existing state-of-the Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-01-17 14:29:12 Machine learning Computational linguistics Statistical models Graphical models Speech recognition N-gram Generative model Conditional random field Segmentation Science Statistics Probability and statistics
135	Hybrid In-Database Inference for Declarative Information Extraction Daisy Zhe Wang Michael J. Franklin Add to Reading List Source URL: www.cise.ufl.edu Language: English - Date: 2014-08-27 19:27:29 Probability and statistics Probability Theoretical computer science Probability theory Computational statistics Markov chain Monte Carlo Conditional random field Hidden Markov model Markov chain Markov models Statistics Graphical models
136	Bayesian inference for hedge funds with stable distribution of returns by Biliana Güner, Svetlozar T. Rachev, Daniel Edelman, Frank J. Fabozzi Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2010-09-30 12:18:22 Statistical theory Statistical inference Bayesian inference Autoregressive conditional heteroskedasticity Prior probability Exponential distribution Expectation–maximization algorithm Stable distribution Gamma distribution Statistics Bayesian statistics Estimation theory
137	THE CONQUEST OF SOUTH AMERICAN INFLATION THOMAS SARGENT, NOAH WILLIAMS, AND TAO ZHA Abstract. We infer determinants of Latin American hyperinflations and stabilizations by using the method of maximum likelihood to estima Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2008-09-29 16:42:33 Numismatics Seigniorage Taxation Hidden Markov model Albert Marcet Conditional expectation Stochastic process Statistics Markov models Probability theory
138	Negative recency, randomization device choice, and reduction of compound lotteries by Kim Kaivanto and Eike B. Kroll Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2011-04-15 11:31:39 Utility Behavioral finance Probability theory Statistical inference Design of experiments Expected utility hypothesis Lottery St. Petersburg paradox Conditional probability Statistics Economics Knowledge
139	Tempered stable and tempered infinitely divisible GARCH models by Young Shin Kim, Svetlozar T. Rachev, Michele Leonardo Bianchi, Frank J. Fabozzi Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2011-05-18 10:45:19 Poisson processes Stable distribution Exponential distribution Normal distribution Autoregressive conditional heteroskedasticity Statistics Probability and statistics Mathematical analysis
140	Combining Predictive Distributions Tilmann Gneiting, University of Heidelberg Heidelberg, Germany Roopesh Ranjan, GE Research, Bangalore, India arXiv:1106.1638v1 [math.ST] 8 Jun 2011 Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-06-08 20:13:51 Normal distribution Cumulative distribution function Random variable Conditional expectation Prediction interval Independence Multivariate normal distribution Variance Probability space Statistics Probability theory Probability and statistics

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