Graphical model learning of stochastic Ising networks

Title

Graphical model learning of stochastic Ising networks

Subject

Statistics

Creator

Akram Bellala

Date

2024

Contributor

Dr Paul Chleboun

Abstract

This project focuses on developing a graphical model learning method for stochastic Ising networks, specifically using data generated by the Glauber dynamics.

Meta Tags

Ising Model, Stochastic Process, Graphical Model Learning, Networks, Glauber Dynamics

Files

Citation

Akram Bellala, “Graphical model learning of stochastic Ising networks,” URSS SHOWCASE, accessed November 4, 2025, https://linen-dog.lnx.warwick.ac.uk/items/show/752.