Common Parameter Estimation Algorithm - EM (Expectation-Maximization)

The EM (Expectation-Maximization) algorithm is a widely used approach for parameter estimation, serving as an alternative to maximum likelihood estimation when dealing with incomplete data samples. It involves iterative optimization steps that progressively refine parameter values through expectation (E-step) and maximization (M-step) phases.