Nature

Expectation-Maximization Algorithms in Statistical Inference

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 ...
IEEE

Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory

Abstract: In this paper, we propose a dynamical systems perspective of the Expectation-Maximization (EM) algorithm. More precisely, we can analyze the EM algorithm as a nonlinear state-space dynamical ...
IEEE

Expectation–Maximization Framework for Fault Diagnosis in Branched Cable Networks via Time–Frequency Domain Reflectometry

Abstract: Time–frequency domain reflectometry (TFDR) has been widely used in industrial cable diagnostics for its high resolution and accurate fault localization. While TFDR is effective for ...