JSTOR Daily

An Efficient Procedure for Computing Quasi-Stationary Distributions of Markov Chains with Sparse Transition Structure

We describe a computational procedure for evaluating the quasi-stationary distributions of a continuous-time Markov chain. Our method, which is an 'iterative version' of Arnoldi's algorithm, is ...
JSTOR Daily

Likelihood Inference for a Class of Latent Markov Models under Linear Hypotheses on the Transition Probabilities

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 68, No. 2 (2006), pp. 155-178 (24 pages) For a class of latent Markov models for discrete variables having a ...
International Monetary Fund

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

This paper outlines a way to estimate transition matrices for use in credit risk modeling with a decades-old methodology that uses aggregate proportions data. This methodology is ideal for credit-risk ...
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 ...
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 ...