Two-dimensional discrete distributions: an introduction @SpartacanUsuals
Two-dimensional discrete distributions: an introduction @SpartacanUsuals
Uploaded May 2018 | Updated September 2026, 2 hours ago
This video introduces two-dimensional discrete probability distributions and describes their key properties.

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
Two-dimensional discrete distributions: an introductionCausation in econometrics - a simple comparison of group meansComparing traditional versus grammar of graphics approaches to graphingRepresenting homoscedasticity and no autocorrelation in matrix form - part 1Moving Average processes - Stationary and Weakly DependentEstimating the error variance in matrix form - part 2Conclusions and references for grammar of graphicsBLUE estimators in presence of heteroscedasticity - GLS - part 1Random walk not weakly dependentExplaining the difference between confidence and credible intervalsGLS - example in matrix formWhat is the difference between independent and dependent sampling algorithms?
Ben Lambert |

Two-dimensional discrete distributions: an introduction

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