STAT 135 Lecture Notes - Lecture 14: Likelihood Function, Fax, Telephone Numbers In The United Kingdom
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2/23 that has a prior distribution look at data a has a distribution like fx ( x ) how is. So for everything up to fx , @ ( x , e) = joint. = g f ( 1 e) do f co ) do. Posterior to fax it reverse to 1 7=+4 4 = ff cx9"ft y, do fcxlo ) is likelihood function and posterior likelihood x prior. , off can be larger is uniform co , 1) than one. Flip a coin lootimes is tto ( i likelihood. C beta ) a ptoa . p ) has density ftp. j#s,xmu-xs ( 61 , 41 ) beta. Max likelihood = so bayesian is essentially adding i tosses before looking at data . head in. For a mle e , we having the following properly. Xn fcxlo ) , fparameter fcxi xnl e) = sct ( x , xn ) 10h ( xi.
