STAT 201B Lecture Notes - Lecture 22: Copper, Conjugate Prior, Karl Agathon

• School: Berkeley
• Department: Statistics
• Course: STAT 201B
• Professor: Elizabeth Purdom

Document Summary

Bayesian t known (marginal dist ") prior (x , o ) joint distr. " to f- cx" io : fcf ) marginal f- coin )=ie7fun prior likelihood lce ) f- (xn ) Marginal density x" fcx , o ) - Fcxntofco ) marginal ffcxnl e)f- co ) do. " known f- calx" ) or fcxnl -0 ) flo ) = exp f- to" ( no deep { - i ( chat # it" Exit- i co- a: cxi - o-tjexpf-zrt. ca - a) = exp f - ztqz co2 - 2h07} Exp f-co-zuj. ge - eui c foot x f- lol x. " ) a exp f - c exp f - ecco - m ) " } Point estimator of a - ecoix " ) Oixnncm , t u=nmb i tnr or a. F- ceh )=nf itnf a only x b- b"t mn prior r4n_ b4r4n n -7n. F- [ 9c-071 1=59107 f- colin ) do fi -