Monte Carlo methods and Markov Chain algorithms have long been central to computational science, forming the backbone of numerical simulation in a variety of disciplines. These techniques employ ...
Simulated packets arrivals with Bernoulli distribution and the packets’ size are in three different distributions which are deterministic, geometric and binomial respectively. The buffer size is ...
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 ...
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