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 ...
LinkedIn

"Understanding the EM Algorithm: A Powerful Statistical Tool"

I’m on X @LetIt_BNoted, where I write long-form posts about statistics, data science, and AI with technical clarity, emotional depth, and poetic metaphors that embrace cartoon logic. Hope to see you ...
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 ...
LinkedIn

Expectation- Maximization Algorithm for Clustering

OK. Good morning, everyone. Ohh, disappear at the back. Can you hear me OK? Everybody hear me right? I want to welcome you into another. Statistical machine learning class. Of course. On Monday we ...
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 ...