Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1155001 | Statistics & Probability Letters | 2010 | 7 Pages |
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
Authors
Yevgeniy Kovchegov, Nick Meredith, Eyal Nir,