how are expected log likelihood and expected log likelihood related why is em a convex function when are the expected log likelihood over the posterior distribution of hidden variables higher than expected is em algorithm convex why is em algorithm non convex is em a convex function how do you calculate expectation over the posterior distribution why is em algorithm non convex why is em algorithm convex is expected log likelihood greater than posterior distribution why is em algorithm non convex why is em algorithm a convex function why is em algorithm convex when we calculate probability over posterior distribution what is the likelihood over the posterior distribution in an em algorithm why is the variable $l(theta)$ not convex why is the expected log likelihood over the posterior distribution of the hidden variables convex which algorithm has the expected log likelihood over the posterior distribution which type of function is expected log likelihood over the posterior distribution of the hidden variables en algorithm em definition