JSTOR Daily

Matrix Product-Form Solutions for Markov Chains with a Tree Structure

This is a preview. Log in through your library . Abstract We have two aims in this paper. First, we generalize the well-known theory of matrix-geometric methods of Neuts to more complicated Markov ...
JSTOR Daily

On the Convergence and Limits of Certain Matrix Sequences Arising in Quasi-Birth-and-Death Markov Chains

Journal of Applied Probability, Vol. 38, No. 2 (Jun., 2001), pp. 519-541 (23 pages) We study the convergence of certain matrix sequences that arise in quasi-birth-and-death (QBD) Markov chains and we ...
GIGAZINE

A video showing how miraculous the probability of 'shikanokokonokoshitantan' appearing in a Markov chain is

A Markov chain is a sequence of random variables that satisfies P(X t+1 ∣X t ,X t−1 ,…,X 1 )=P(X t+1 ∣X t ). Simply put, it is a sequence in which X t+1 depends only on X t and appears before X t−1 ...
Forbes

Revealing Secrets Of Large Language Models And Generative AI Via Markov Chain Mathematics

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely examine an innovative way of ...
Investopedia

Understanding Markov Analysis: Simple Forecasting Method and Applications

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...