Conjugate prior for a Binomial likelihood

Demonstration that the beta distribution is the conjugate prior for a binomial likelihood function.
These short videos work through mathematical details used in the Multivariate Statistical Modelling module at UWE.

[@keving.7871]

You‘re videos are a blessing. So clear and reduced to the relevant information. Thank you very much!

[@matinhewing1]

Amazing! Thank-you so much!

[@OscarAbarcaChinchilla]

Very useful video. Thanks a lot.

[@sandipankarmakar]

nice step by step explanation...good job...

[@timhale2704]

Very well explained thank you :)

[@deetoher]

glad that it is helpful

[@obi6753]

Thanks so much

[@xElectricWorldx]

wtf i learned much more in these 10min compare to the hrs I spent in class.

[@abdolvakilfazli2488]

typical comment

[@TheUgoren]

For pythonistas, see python implementation of various conjugate priors : github.com/urigoren/conjugate_prior

[@zhongshanhu7376]

good

[@parametersofstatistics2145]

Can u please share a link where u explained posterior of binomial with prior poison
I need it Really madam😞

[@deetoher]

I am afraid that that is outside the parameters of the course specification, so I haven't recorded anything on that. I no longer teach on that part of the course, so will not be creating further materials on introductory Bayesian statistics.

[@parametersofstatistics2145]

deetoher mam may i join u on facebook please as i m also a statistics student from india and the place i live is too unknown with statistics so i have noone to discuss.. will u please 😢

[@monicazim5171]

I don't understand why is this the prior

[@adinghosh917]

just gave me an answer to my hw haha