Phase-type representations for exponential distributions

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.

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Publication Details

Journal
Advances in Applied Probability
Published
2025-03-04
DOI
https://doi.org/10.1017/apr.2024.67
Citations
1
Primary Topic
Point processes and geometric inequalities
Type
article
Field-Weighted Citation Impact
3.73
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article

Phase-type representations for exponential distributions

Clara Brimnes Gardner, Bo Friis Nielsen, Hansjörg Albrecher
1 citations
Advances in Applied Probability
Point processes and geometric inequalities
3.73
article

Phase-type representations for exponential distributions

Clara Brimnes Gardner, Bo Friis Nielsen, Hansjörg Albrecher
article en
1 citations

Abstract

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.

Advances in Applied ProbabilityVol. 57(3)
Technical University of Denmark (DK), University of Lausanne (CH)
Openalex Percentile: Top 12%
Point processes and geometric inequalities
3.73
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