I am trying to grasp what exactly is "estimated" in the E-step of the algorithm.
According to all definitions, in E-step the "conditional expectation values , or posterior probabilities of the hidden variables" are computed, using the Bayes formula ( posterior probability=prior( or marginal prob.) x likelihood/probability of evidence). Now, my question is, are these posterior probabilities, that I "estimate" or "compute", actually numbers or are they functions with respect to the current iteration's parameters ( and they are the ones I need to plug into M-step)? Where the probability of evidence would be likelihood, calculated with the previous argmax , calculated in previous M-step.