We consider the recently introduced Transformation-based Markov Chain Monte Carlo (TMCMC) (Stat. Methodol. 16 (2014) 100–116), a methodology that is designed to update all the parameters ...
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 ...
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 ...
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