44 - Posterior predictive distribution a negative binomial for gamma prior to poisson likelihood

This video provides a derivation of the posterior predictive distribution - a negative binomial - for when there is a gamma prior to a Poisson likelihood.
If you are interested in seeing more of the material on Bayesian statistics, arranged into a playlist, please visit: • Bayesian statistics: a... Unfortunately, Ox Educ is no more. Don't fret however as a whole load of new youtube videos are coming soon, along with a book that accompanies the series: www.amazon.co.uk/gp/product/1... Alternatively, for more information on this video series and Bayesian inference in general, visit: ben-lambert.com/bayesian-lect... For more information on econometrics and Bayesian statistics, see: ben-lambert.com/

[@tetlleyplus]

Best series about Bayes Inference, many thanks Ben!

[@user-gp4bf4tl9j]

super helpful, but it would be perfect to include some contents like Grid approximate, MH, Gibbs sampling, hierarchical model, GLM, bayesian decision theory mentioned in the 1st video. Anyway, thank you so much for all the videos.

[@jiaxuanchen8652]

Finally!!! Thank you, sir!

[@orenmatar]

this series was super helpful,
are you going to post new videos on regression etc..?

[@labyrinthChecksIn]

"I am indebted to my father for living, but to my teacher for living well" - Alexander the great.
Thank you for the lectures Ben, ever in debt of you - labyrinth

[@Digmster]

This series cleared up a huge amount for me. Many thanks, Ben.

[@shaymaaalkathiri1700]

Thanks a lot Sir! I finished the course, great and clear explanation for Bayesian inference. I hope you publish more videos in advanced statistics topics.

[@rickyqiao3162]

Thank you for making this series.

[@krusebanan270]

Thank you so much for all the videos Ben! It really helps a lot! I was wondering if you were going to post some videos on MCMC?

[@abhisheknahar3917]

+Kruse Banan I am also hoping for some videos on MCMC...Nevertheless this seriesreally helped me improve my understanding of Bayesian inference

[@draingutter]

Great series!! Would it be possible to cover topic such as MCMC, Grid approximation, Gibbs sampling, hierachical model and decision theory?

[@davidfield5295]

Great series! Thank you for making it.

[@jyoti_4568]

Loved this series. Very helpful. Thanks a ton!

[@jiataoye1666]

Thanks a lot for your post which really help me from struggling with all these concepts.

[@RealMcDudu]

Nice Series - thanks!

[@valdemort7983]

Thank you so much for your videos. It was very helpful. I wish the course containted some more advanced topics which were mentioned in the first video.

[@alexandrahotti9810]

Hi!
Thanks for the great video.
I have a question about the last expression that you arrive at for the negative binomial.
To me it seems like it should be: NB(N\Bar{x}+\alpha,\frac{N+\beta}{N+\beta+1}). Am I missing something?
Thanks!

[@petermott960]

Really helpful and clear

[@bnglr]

thank you Ben

[@Andrewlim90]

Still holding out for MCMC!