Norris Markov Chains

Notice the economy of words. No fluff, just the definition.

There is no MATLAB, Python, or R code. If you want to simulate a Markov chain or estimate transition matrices from data, look elsewhere. This is pure analysis. norris markov chains

Norris assumes you have seen some probability before (expectations, conditional probability, basic convergence concepts). The first chapter dives into $\sigma$-algebras and filtrations by page 10. If you don’t know what "almost surely" means, you will struggle. Notice the economy of words

This review is structured for a graduate student or advanced undergraduate looking for a rigorous treatment. norris markov chains

import numpy as np

The text is divided into six logical segments that build from fundamental definitions to complex real-world applications: