First-Passage Time for PDifMPs: An Asymptotically Exact Simulation Approach for Time-Varying Thresholds
Year: 2026
Type: article
Abstract: Piecewise diffusion Markov processes (PDifMPs) are valuable for modelling systems where continuous dynamics are interrupted by sudden shifts and/or changes in drift and diffusion. The first-passage time (FPT) in such models plays a central role in understanding when a process first reaches a critical boundary. In many systems, time-dependent thresholds provide a flexible framework for reflecting evolving conditions, making them essential for realistic modelling. We propose a hybrid asymptotically exact simulation scheme for computing the FPT of PDifMPs to time-dependent thresholds. Exact methods traditionally exist for pure diffusions, using Brownian motion as an auxiliary process and accepting sampled paths with a probability weight. Between jumps, the PDifMP evolves as a diffusion, allowing us to apply the exact method within each inter-jump interval. The main challenge arises when no threshold crossing is detected over an interval: we then need the value of the process at the jump time, and to that end, we introduce an approach to simulate a conditionally constrained auxiliary process and derive the corresponding acceptance probability. Furthermore, we prove the convergence of the method and illustrate it using numerical examples.
Source: Journal of Scientific Computing
Authors: Sascha Desmettre, Devika Khurana, Amira Meddah
Institution: Johannes Kepler University of Linz
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,290
Funder: Linz Center of Mechatronics
OpenAlex ID: W7171404949