Closed HWRix closed 9 years ago
So it is not maximum likelihood. I understand. What should we name our method?
I will need to think about it, and I can fix this in the next iteration.
fixed this the easy way, by adding We presume the priors on all $p_H$ to be flat over the pertinent range; therefore the posterior distribution of the parameters, $p(p_H | { data})$, is proportionate to the likelihood (Eq. \ref{eq:Likelihood}), differing only in its units ("1/parameters" {\it vs.} "1/data"). to the text
We need to make sure that the nomenclature is consistent: we called the method maximum likelihood, but because there is a prior probability on the right-hand side of the equation, the left-hand side of the equation becomes a posterior probability not a likelihood.