In this article we discuss the problem of assessing the performance of Markov chain Monte Carlo (MCMC) algorithms on the basis of simulation output. In essence, we extend the original ideas of Gelman ...
Stochastic dynamics of Markov processes examines how systems evolve in time when their transitions between states are governed by probabilistic rules. At its core lies the Markov property, which ...
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