Convergence of a particle approximation for the quasi-stationary distribution of a diffusion process: uniform estimates in a compact soft case
Lucas Journel, Pierre Monmarch\'e

TL;DR
This paper proves the convergence of a particle approximation scheme for the quasi-stationary distribution of a diffusion process on a torus, providing uniform bounds in simulation time, particle number, and timestep.
Contribution
It introduces a Moran/Fleming-Viot type particle scheme with uniform convergence bounds for approximating quasi-stationary distributions of diffusions.
Findings
Convergence of the particle scheme is established in multiple parameters.
Quantitative bounds are independent across simulation time, particle number, and timestep.
The results apply to diffusions killed at a smooth rate on a compact domain.
Abstract
We establish the convergences (with respect to the simulation time ; the number of particles ; the timestep ) of a Moran/Fleming-Viot type particle scheme toward the quasi-stationary distribution of a diffusion on the -dimensional torus, killed at a smooth rate. In these conditions, quantitative bounds are obtained that, for each parameter (, or ) are independent from the two others.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
