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Conditional probability
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11	Full conglomerability, continuity and marginal extension Enrique Miranda1 and Marco Zaffalon2 Abstract We investigate fully conglomerable coherent lower previsions in the sense of Walley, and some particular cases of int Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-07-19 09:24:39 Probability theory Mathematical analysis Statistical theory Analysis Imprecise probability Conditional probability Limit of a function Ordinal number Conditioning Connection
12	Probability and Statistics Jane Bae Stanford University September 15, 2014 Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-12-18 11:43:48 Mathematical analysis Probability Probability theory Covariance and correlation Statistical theory Algebra of random variables Independence Expected value Covariance Random variable Variance Conditional expectation
13	Forecasting Value-at-Risk by Estimating the Quantiles of the Intra-Day Low and High Series Xiaochun Meng & James W. Taylor Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:21:56 Statistics Mathematical finance Actuarial science Probability distributions Estimation theory Technical analysis Quantile Volatility Regression analysis Value at risk Normal distribution Autoregressive conditional heteroskedasticity
14	Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-14 15:37:03 Statistics Probability theory Graphical models Machine learning Statistical models Statistical theory Bayesian statistics Markov random field Latent variable Expectationmaximization algorithm Marginal likelihood Conditional random field
15	TME, vol. 12, no. 1&2, p. x What Can Education Learn from Real-World Communication of Risk and Uncertainty? David Spiegelhalter University of Cambridge, England Jenny Gage Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2015-09-07 05:57:11 Statistics Probability theory Probability Logic Risk Statistical hypothesis testing Frequency Gerd Gigerenzer Expected value Conditional probability Experiment
16	Multi-label Classification Jesse Read Department of Signal Theory and Communications Madrid, Spain II MLKDD Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2013-07-16 10:59:38 Independence Mathematical analysis Probability Probability theory Charles III University of Madrid Legans Conditional independence Multi-label classification Joint probability distribution Correlation and dependence Mutual information Analysis
17	Condensation \| conditional density propagation for visual tracking Michael Isard and Andrew Blake, Department of Engineering Science, University of Oxford, Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-11-17 06:53:17 Computer vision Condensation algorithm Probability distribution Pi Monte Carlo methods Robot control
18	INTRODUCTION TO PROBABILITY Add to Reading List Source URL: athenasc.com Language: English - Date: 2002-08-26 00:53:40 Probability theory Probability distributions Statistical theory Conditioning Variance Expected value Normal distribution Uniform distribution Cumulative distribution function Conditional variance Random variable Standard deviation
19	Probabilistic ML algorithm Naïve Bayes and Maximum Likelyhood 1 Add to Reading List Source URL: twiki.di.uniroma1.it Language: English - Date: 2016-05-09 09:04:44 Probability theory Conditional probability Joint probability distribution Probability distribution Expected value Naive Bayes classifier Random variable Probability density function Probability Posterior probability Mutual information
20	Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models Zhen Qin University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-05-14 15:51:40 Markov processes Graph theory Markov chain Gibbs sampling Probability distribution Bayesian network Resampling Sampling