JSTOR Daily

The Eigenvalues of the Empirical Transition Matrix of a Markov Chain

Journal of Applied Probability, Vol. 41, Stochastic Methods and Their Applications (2004), pp. 347-360 (14 pages) This paper investigates the probabilistic behaviour of the eigenvalue of the empirical ...
JSTOR Daily

Stochastic and Substochastic Solutions for Infinite-State Markov Chains with Applications to Matrix-Analytic Methods

This paper deals with censoring of infinite-state banded Markov chains. Censoring involves reducing the time spent in states outside a certain set of states to 0 without affecting the number of visits ...
International Monetary Fund

Estimating Markov Transition Matrices Using Proportions Data: An Application to Credit Risk

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper outlines a way to estimate transition matrices for use in credit risk modeling with a decades-old methodology ...
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 ...
University of Bristol

Markov disease progression models

Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by observing the time it takes patients in any ...