Expectation propagation

Expectation Propagation is not a widely recognized term in the literature of statistics or machine learning. However, it seems to be a conflation of two important concepts: **Expectation Maximization (EM)** and **propagation**, particularly used in the context of graphical models or belief propagation. 1. **Expectation Maximization (EM)**: This is a statistical technique used for finding maximum likelihood estimates of parameters in probabilistic models, particularly when the data is incomplete or has latent variables.