A Markov Chain is a sequence of random values whose probabilities at a time interval depends upon the value of the number at the previous time. A Markov Chain is a sequence of random values whose ...

We consider the application of Markov chain Monte Carlo (MCMC) estimation methods to random-effects models and in particular the family of discrete time survival models. Survival models can be used in ...

This is a preview. Log in through your library . Abstract We describe movement patterns of hatchery-raised, juvenile, spring chinook salmon, Oncorhynchus tshawytscha, using a two-state Markov chain ...

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 ...

What an artificial intelligence displays on the screen reflects its internal representation of the world, which may be quite different than our own. In a startlingly short time span, artificial ...