Abstract
This paper characterizes irreducible phase-type representations for exponential distributions. Bean and Green (2000) gave a set of necessary and sufficient conditions for a phase-type distribution with an irreducible generator matrix to be exponential. We extend these conditions to irreducible representations, and we thus give a characterization of all irreducible phase-type representations for exponential distributions. We consider the results in relation to time-reversal of phase-type distributions, PH-simplicity, and the algebraic degree of a phase-type distribution, and we give applications of the results. In particular we give the conditions under which a Coxian distribution becomes exponential, and we construct bivariate exponential distributions. Finally, we translate the main findings to the discrete case of geometric distributions.
| Original language | English |
|---|---|
| Journal | Advances in Applied Probability |
| Volume | 57 |
| Issue number | 3 |
| Pages (from-to) | 969–999 |
| ISSN | 1475-6064 |
| DOIs | |
| Publication status | Published - 2025 |
Keywords
- Markov jump processes
- Generator matrices
- Bivariate exponential distributions
- Phase-type distributions
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