Stochastic comparisons for non-markov processes
Mathematics of Operations Research
Stochastic ordering for Markov processes on partially ordered spaces
Mathematics of Operations Research
Stochastic convexity and concavity of Markov processes
Mathematics of Operations Research
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In this paper, we propose a numerical method for bounds computations of discrete-time Markov chains with different state spaces. This method is based on the necessary and sufficient conditions for the comparison of one-dimensional (also known as the point-wise comparison) of discrete-time Markov chains given in our previous work [3]. For achieving our objective, we proceed as follows. Firstly, we transform the comparison criterion under the form of a complete linear system of inequalities. Secondly, we use our implementation on Scilab software of Gamma-algorithm to determine the set of all possible bounds of a given Markov chain.