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math.PR2026

Colored Markov-Modulated Brownian Motion for Preemptive Workload Stacks

Maria Laura Battagliola, Eduardo Medina-Valdés, Oscar Peralta

We develop a colored Markov-modulated Brownian motion model for diffusion-scale systems in which newly created work preempts the active layer, occupies the top of an ordered stack,…

math.PR2026

Equivalence and Separation for Multivariate Matrix-Exponential and Phase-Type Distribution Classes

Oscar Peralta

We resolve two questions left open by Bladt and Nielsen (2010) concerning multivariate families of matrix-exponential and phase-type distributions. First, in the matrix-exponential…

math.PR2026

Optimization-Free Concentrated Matrix-Exponentials

Maria Laura Battagliola, Oscar Peralta

Near-deterministic positive delays require highly concentrated distributions, but phase-type models are constrained by the Erlang variance limit. While matrix-exponential distribut…

math.PR2026

Matrix Representations for Scale Functions of Spectrally Negative Lévy Processes with Rational Jumps

Osvaldo Angtuncio Hernández, Oscar Peralta

For a spectrally negative Lévy process with Laplace transform , the -scale function is characterized as the function whose Laplace transform is . It has…

math.PR2026

Rational arrival processes with strictly positive densities need not be Markovian

Oscar Peralta

Telek (2022) asked whether a rational arrival process (RAP), specified by matrices and and an initial row vector , with strictly positive joint densities and a…

math.PR2025

Approximations of semi-Markov processes and insurance policy valuation

Martin Bladt, Andreea Minca, Oscar Peralta

Inspired by a duration-dependent life insurance model, we consider continuous-time semi-Markov jump processes, initially assumed to have a finite state-space. We develop approximat…