3.24 ( ) Repeat the previous exercise but now use Bayes theorem in the form p(t) = p(t|w, )p(w, ) p(w, |t) (3.119) and then

3.24 ( ) Repeat the previous exercise but now use Bayes’ theorem in the form p(t) = p(t|w, β)p(w, β)

p(w, β|t)

(3.119)

and then substitute for the prior and posterior distributions and the likelihood function in order to derive the result (3.118).