An introduction to mutual information @SpartacanUsuals
An introduction to mutual information  @SpartacanUsuals
Uploaded May 2018 | Updated September 2026, 2 hours ago
Describes what is meant by the ‘mutual information’ between two random variables and how it can be regarded as a measure of their dependence.

This video is part of a lecture course which closely follows the material covered in the book, "A Student's Guide to Bayesian Statistics", published by Sage, which is available to order on Amazon here: amazon.co.uk/Students-Guide-Bayesian-Statistics/dp/1473916364

For more information on all things Bayesian, have a look at: ben-lambert.com/bayesian/. The playlist for the lecture course is here: youtube.com/playlist?list=PLwJRxp3blEvZ8AKMXOy0fc0cqT61GsKCG&disable_polymer=true
An introduction to mutual informationAn introduction to importance samplingFactor analysis: predicted variance and covariance of indicators - part 2Bayesian statistics syllabusDerivation of variance-covariance matrix in factor analysis - part 1Factor Analysis - an introductionSimultaneous equation models - parameter identificationCauchy Schwarz Inequality   Proof   part 2Maximum Likelihood estimation of Logit and ProbitMaximum likelihood estimation of factor analysis models - fitting functionThe conditional independence assumption - intuitionGeometric intepretation of least squares - orthogonal projection
Ben Lambert |

An introduction to mutual information

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