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 ...
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