We developed an expectation–maximization (EM) algorithm to estimate the variance parameter of the prior distribution for each regression coefficient.

We show here that these MM algorithms can be reinterpreted as special instances of expectation-maximization algorithms associated with suitable sets of latent variables and propose some original ...

We propose an expectation-maximization algorithm to estimate the underlying presence-absence logistic model for presence-only data. This algorithm can be used with any off-the-shelf logistic model.