Estimating the posterior predictive distribution by sampling @SpartacanUsuals
Estimating the posterior predictive distribution by sampling @SpartacanUsuals
Uploaded May 2018 | Updated September 2026, 2 hours ago
Illustrates how to build up an approximate posterior predictive distribution by sampling for a simple example.

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
Estimating the posterior predictive distribution by samplingFactor Analysis - model representationLikelihood ratio test - introductionAn introduction to the Random Walk Metropolis algorithmAn introduction to continuous conditional probability distributionsAn 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 identification
Ben Lambert |

Estimating the posterior predictive distribution by sampling

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