Binomial Distribution, Mixture Models, Em Algorithm, Bioinformatics.
probability of a certain mistake (e.g. C to A) is not the same across all positions in a DNA segment. In other words, there may exist more than one θ’s for the same type of mistake like a C-to-A mistake. In this situation, one needs to consider a Binomial Mixture Model. Below, we use flipping coins