Joint probability distribution

Results: 118



#Item
61Statistical theory / Bayesian statistics / Machine learning / Naive Bayes classifier / Kullback–Leibler divergence / Mutual information / Conditional entropy / Joint probability distribution / Normal distribution / Statistics / Information theory / Statistical classification

[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit

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Source URL: www.cs.cmu.edu

Language: English - Date: 2011-01-26 12:02:42
62Credal set / Expected value / Joint probability distribution / Conditioning / Independence / Function / Conditional probability / Conditional independence / Convex function / Probability theory / Mathematical analysis / Statistics

Probabilistic Graphical Models Alessandro Antonucci Cassio P. de Campos Marco Zaffalon

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Source URL: ipg.idsia.ch

Language: English - Date: 2014-01-03 00:57:12
63Probability and statistics / Kullback–Leibler divergence / Mutual information / Entropy / Joint entropy / Differential entropy / Normal distribution / Information theory / Statistics / Information

18th World IMACS / MODSIM Congress, Cairns, Australia[removed]July 2009 http://mssanz.org.au/modsim09 Information-Theoretic Strategies for Quantifying Variability and Model-Reality Comparison in the Climate System 1,2,3

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Source URL: people.physics.anu.edu.au

Language: English - Date: 2009-08-19 01:07:02
64Actuarial science / Causality / Expected value / Variance / Additive white Gaussian noise / Joint probability distribution / Linear regression / Instrumental variable / Statistics / Regression analysis / Econometrics

Distinguishing cause from effect using observational data: methods and benchmarks Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij∗

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Source URL: arxiv-web3.library.cornell.edu

Language: English - Date: 2014-12-11 20:24:33
65Probability distributions / Normal distribution / Moment-generating function / Mixture model / Cumulative distribution function / Mixture distribution / Joint probability distribution / Dirichlet distribution / Conjugate prior / Statistics / Probability and statistics / Probability

Statistics & Operations Research Transactions SORT[removed]January-June 2008, 3-36 ISSN: [removed]www.idescat.net/sort Statistics &

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Source URL: www.idescat.cat

Language: English - Date: 2010-11-29 02:39:03
66Probability and statistics / Edgeworth series / Gumbel distribution / Independence / Model theory / Characteristic function / Cumulant / Variance / Statistics / Probability theory / Mathematical analysis

NISS A Higher Order Expansion for the Joint Density of the Sum and the Maximum under the Gumbel Domain of Attraction Amy Grady and Richard L. Smith

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Source URL: www.niss.org

Language: English - Date: 2003-07-09 16:20:42
67Statistical dependence / Probability theory / Actuarial science / Copula / Joint probability distribution / Multivariate random variable / Survival analysis / Multivariate Student distribution / Moment-generating function / Statistics / Probability and statistics / Multivariate statistics

Idescat. SORT. New aging properties of the Clayton-Oakes model based on multivariate dispersion. Volume 34 (1)

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Source URL: www.idescat.cat

Language: English - Date: 2010-11-29 02:39:04
68Estimation theory / Data analysis / Forecasting / Time series analysis / Probability distribution / Forecast error / Knowledge / Statistical forecasting / Statistics / Prediction

New Avenues in Forecast Verification Laurie Wilson With thanks to the members of the Joint Working Group on Forecast Verification Research: Beth Ebert, Barb Brown, Pertti Nurmi, Anna Ghelli, Barbara Casati

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Source URL: collaboration.cmc.ec.gc.ca

Language: English - Date: 2010-12-03 14:47:09
69Probability theory / Probability and statistics / Graphical model / Independence / Joint probability distribution / Probability / Constraint programming / Maths24 / COMPASS/Sample Code / Statistics / Bayesian statistics / Statistical models

Conditional Independence Lecture 2: Directed Graphical Models • Notation: xA ⊥ xB |xC Definition: two (sets of) variables xA and xB are conditionally

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Source URL: www.cs.nyu.edu

Language: English - Date: 2009-10-06 18:57:12
70Actuarial science / Causality / Expected value / Variance / Additive white Gaussian noise / Joint probability distribution / Linear regression / Instrumental variable / Statistics / Regression analysis / Econometrics

Distinguishing cause from effect using observational data: methods and benchmarks Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij∗

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Source URL: arxiv.org

Language: English - Date: 2014-12-11 20:24:33
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