This could have gone in the Programmer's Symposium as well, but I'll ask here since it is really about the underlying math. For some background, a Markov chain is a sequence of things where the ...

There is an increasing use of Markov chain Monte Carlo (MCMC) algorithms for fitting statistical models in psychometrics, especially in situations where the traditional estimation techniques are very ...

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 ...

Brief review of conditional probability and expectation followed by a study of Markov chains, both discrete and continuous time. Queuing theory, terminology, and single queue systems are studied with ...

In this episode probability mathematics and chess collide. In this episode probability mathematics and chess collide. What is the average number of steps it would take before a randomly moving knight ...

This is a preview. Log in through your library . Abstract This paper discusses a quasi-likelihood (QL) approach to regression analysis with time series data. We consider a class of Markov models, ...