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Identifying Coefficients in the Spectral Representation for First Passage Time Distributions
The spectral approach to first passage time distributions for Markov processes requires knowledge of the eigenvalues and eigenvectors of the infinitesimal generator matrix. We demonstrate that in many cases knowledge of the eigenvalues alone is sufficient to compute the first passage time distributi...
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Published in: | Probability in the engineering and informational sciences 1987-01, Vol.1 (1), p.69-74 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The spectral approach to first passage time distributions for Markov processes requires knowledge of the eigenvalues and eigenvectors of the infinitesimal generator matrix. We demonstrate that in many cases knowledge of the eigenvalues alone is sufficient to compute the first passage time distribution. |
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ISSN: | 0269-9648 1469-8951 |
DOI: | 10.1017/S0269964800000309 |