How can we apply Bayes theorem on histogram ?
closed as not a real question by Yemon Choi, Qiaochu Yuan, Douglas Zare, algori, Steven Landsburg Oct 1 '12 at 1:21
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You may treat the histogram as observations arising from a multinomial distribution. The conjugate prior for a multinomial likelihood is a Dirichlet distribution. If you want to allow the number of bins to grow as you collect more data, this leads to a Dirichlet process prior, as I mentioned in my early comment.