Article ID Journal Published Year Pages File Type
1155001 Statistics & Probability Letters 2010 7 Pages PDF
Abstract

Consider a Markov process with countably many states. In order to find a one-state occupation time distribution, we use a combination of Fourier and Laplace transforms in the way that allows for the inversion of the Fourier transform. We derive a closed-form expression for the occupation time distribution in the case of a simple continuous-time random walk on ZZ and represent the one-state occupation density of a reversible process as a mixture of Bessel densities.

Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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