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Conditional probability
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#	Item
371	Focused Correlation and Confirmation Gregory Wheeler Artificial Intelligence Center - CENTRIA Department of Computer Science, Universidade Nova de Lisboa[removed]Caparica, Portugal [removed] Add to Reading List Source URL: gregorywheeler.org Language: English - Date: 2010-09-19 10:32:30 Probability theory Measurement Correlation and dependence Independence Conditional independence Probability distribution Pearson product-moment correlation coefficient Statistical dependence Statistics Covariance and correlation
372	doi:[removed]j.jal[removed] Add to Reading List Source URL: gregorywheeler.org Language: English - Date: 2010-09-19 10:32:25 Logical consequence Epistemology Binary operations Entailment Inference Probability interpretations Lottery paradox Material conditional Henry E. Kyburg Jr. Logic Propositional calculus Conditionals
373	13 Extending Bayesian Networks to the Open-Universe Case Brian Milch and Stuart Russell Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-12-29 19:42:37 Statistical dependence Probability and statistics Random variable Randomness Independence Variable Conditional independence Bayesian network Probability theory Mathematics Statistics
374	Resubmitted to Econometric Theory POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES By Andriy Norets Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:10:01 Estimation theory Statistical theory Statistical models Kullback–Leibler divergence Thermodynamics Mixture model Density estimation Normal distribution Prior probability Statistics Probability and statistics Bayesian statistics
375	Probability and Stochastic Processes with Applications Oliver Knill Contents Preface Add to Reading List Source URL: www.math.harvard.edu Language: English - Date: 2013-11-12 09:01:08 Stochastic processes Random variable Conditional expectation Probability space Independence Martingale Moment Probability density function Stochastic differential equation Statistics Probability theory Probability and statistics
376	Bayesian modeling of joint and conditional distributions by mixtures Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:09:59 Econometrics Statistical models Bayesian statistics Quantile regression Joint probability distribution Gibbs sampling Mixture model Normal distribution Conditional probability distribution Statistics Probability and statistics Regression analysis
377	Co-Training and Expansion: Towards Bridging Theory and Practice Maria-Florina Balcan Computer Science Dept. Carnegie Mellon Univ. Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-12-28 22:51:11 Entailment Logical consequence Metalogic Randomized algorithm Semi-supervised learning Markov chain Conditional independence Strength of materials Logic Probability theory Deduction
378	Submitted to the Annals of Statistics APPROXIMATION OF CONDITIONAL DENSITIES BY SMOOTH MIXTURES OF REGRESSIONS∗ By Andriy Norets† Princeton University Add to Reading List Source URL: www.economics.illinois.edu Language: English - Date: 2013-10-16 15:09:56 Integral calculus Differential calculus Information theory Conditioning Probability theory Kullback–Leibler divergence Normal distribution Derivative Integration by substitution Mathematical analysis Calculus Mathematics
379	Lexicographic probability, conditional probability, and nonstandard probability Joseph Y. Halpem Dept. Computer Science Cornell University Add to Reading List Source URL: www.tark.org Language: English - Date: 2011-10-23 10:31:50 Measure Probability space Event Standard probability space Borel set Sheaf Lexicographical order Direct integral Σ-finite measure Mathematical analysis Probability theory Mathematics
380	Conditional Random Fields †1 Add to Reading List Source URL: chasen.org Language: English - Date: 2004-04-11 21:59:57 Machine learning Theoretical computer science Probability and statistics Probability Hidden Markov model Random field Maximum-entropy Markov model Markov models Statistics Conditional random field

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