This is a preview. Log in through your library . Abstract The Bayesian bootstrap for Markov chains is the Bayesian analogue of the bootstrap method for Markov chains. We construct a random-weighted ...
Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
The Annals of Statistics, Vol. 41, No. 2 (April 2013), pp. 870-896 (27 pages) We introduce a three-parameter random walk with reinforcement, called the (θ, α, β) scheme, which generalizes the linearly ...
Markov Chain Monte Carlo (MCMC) methods have become indispensable in contemporary statistical science, enabling researchers to approximate complex probability distributions that are otherwise ...
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