Скачать или смотреть Introduction to the elements of Bayesian statistics Week 4 Video 3 Conjugate priors

This video has two topics: 1) A description and an example of conjugate priors; 2) an explanation of how the posterior distribution is a balance between the amount of data and the strength of the prior.

0:00 General introduction.
0:34 Intro to conjugate priors.
2:58 Formula for the binomial/beta pairing.
4:02 Intro example for binomial/beta pairing.
5:05 Getting beta 'a' and 'b' parameters.
7:01 Calculating the posterior.
8:31 The posterior as blend of prior and data.

The table of likelihood functions and their conjugate priors is from Wikipedia:
https://en.wikipedia.org/wiki/Conjugate_prior

The reference to 'Kruschke's text' is:
Kruschke, J. K. 2015. Doing Bayesian analysis. A tutorial with R, JAGS and Stan. 2nd Ed. Academic Press. 759 pp.