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Book:Probability Distribution
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1	The Bivariate Normal Distribution This is Section 4.7 of the 1st editionof the book Introduction to Probability, by D. P. Bertsekas and J. N. Tsitsiklis. The material in this section was not included in the 2nd e Add to Reading List Source URL: www.athenasc.com Language: English - Date: 2008-07-28 11:00:50
2	The Bivariate Normal Distribution This is Section 4.7 of the 1st editionof the book Introduction to Probability, by D. P. Bertsekas and J. N. Tsitsiklis. The material in this section was not included in the 2nd e Add to Reading List Source URL: athenasc.com Language: English - Date: 2008-07-28 11:00:50 Statistics Probability Mathematical analysis Covariance and correlation Covariance Correlation and dependence Uncorrelated random variables Variance Normal distribution Multivariate normal distribution Conditioning Conditional probability distribution
3	Errata Introduction to Probability, 1st Edition Dimitri P. Bertsekas and John N. Tsitsiklis Athena Scientific, 2002 (last updatedThese are corrections to the first and second printings of the book, and have bee Add to Reading List Source URL: athenasc.com Language: English - Date: 2008-08-11 23:11:51 Probability distributions Infinitely divisible probability distributions Geometric distribution Exponential distribution
4	Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2004-09-18 13:29:32 Monte Carlo methods Markov chain Monte Carlo Statistical mechanics Bayesian inference Statistical inference Normal distribution Metropolis–Hastings algorithm Marginal likelihood Variational Bayesian methods Statistics Probability and statistics Bayesian statistics
5	Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2005-05-21 12:28:11 Estimation theory Poisson processes Statistical theory Exponential distribution Bayesian inference Information theory Likelihood function Normalizing constant Marginal likelihood Statistics Bayesian statistics Probability theory
6	From the book Networks, Crowds, and Markets: Reasoning about a Highly Connected World. By David Easley and Jon Kleinberg. Cambridge University Press, 2010. Complete preprint on-line at http://www.cs.cornell.edu/home/klei Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2010-06-10 15:12:01 Probability theory Preferential attachment Copying mechanism Power law Normal distribution Central limit theorem Long Tail Probability Logarithm Statistics Stochastic processes Graph theory
7	Stat 302 Statistical Software and Its Applications SAS: Distributions Fritz Scholz Department of Statistics, University of Washington Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-03 13:42:56 Binomial distribution SAS Negative binomial distribution Probability distribution Log-normal distribution Beta-binomial distribution Book:Probability Distribution Statistics Mathematical analysis Probability and statistics
8	Ch.5 Classification and Clustering Classification [Book, scattered] With discrete response variables, do classification instead of regression. (b) 1 Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-09-30 19:02:28 Statistical classification Bayesian statistics Regression analysis Linear classifier Posterior probability Linear regression Marginal distribution K-nearest neighbor algorithm Expected value Statistics Econometrics Machine learning
9	Ch.1 Correlation & Regression 1.1 Mean and Variance [Book, Sect.1.1, 1.2] Let x be a random variable which takes on discrete values. For example, x can be the outcome of a die cast, where the possible values are xi = i, Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-08-04 13:56:58 Probability theory Summary statistics Statistical dependence Variance Covariance Correlation and dependence Standard deviation Normal distribution Sample mean and sample covariance Statistics Covariance and correlation Data analysis
10	THIS IS VERY CLOSE THE OFFICIAL VERSION, PUBLISHED AS: PROCEEDINGS OF THE IEEE, VOL. 9, NO 10, PP[removed], OCT[removed]Blind signal separation: statistical principles Jean-Francois Cardoso, C.N.R.S. and E.N.S.T. c Add to Reading List Source URL: dsp-book.narod.ru Language: English - Date: 2013-05-06 00:55:50 Normal distribution Independent component analysis Maximum likelihood Covariance Probability density function Kurtosis Matrix Probability distribution Derivative Statistics Data analysis Statistical models

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