This is a preview. Log in through your library . Abstract If a finite Markov chain (discrete time, discrete states) has a number of absorbing states, one of these will eventually be reached. In this ...

At its core, a Markov chain is a model for predicting the next event in a sequence based only on its state. It possesses ...

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 ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, martingales, concentration inequalities, branching ...

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 ...