The expectation-maximization (EM) algorithm is a cornerstone technique for parameter estimation in statistical models that incorporate latent variables or incomplete data. By iteratively alternating ...

Likelihood estimation lies at the heart of statistical inference, providing a principled framework to fit models to data by maximising the probability of observed outcomes. Classical approaches such ...