English

Central Limit Theorem for stationary Fleming--Viot particle systems in finite spaces

Probability 2019-04-22 v2

Abstract

We consider the Fleming--Viot particle system associated with a continuous-time Markov chain in a finite space. Assuming irreducibility, it is known that the particle system possesses a unique stationary distribution, under which its empirical measure converges to the quasistationary distribution of the Markov chain. We complement this Law of Large Numbers with a Central Limit Theorem. Our proof essentially relies on elementary computations on the infinitesimal generator of the Fleming--Viot particle system, and involves the so-called π\pi-return process in the expression of the asymptotic variance. Our work can be seen as an infinite-time version, in the setting of finite space Markov chains, of results by Del Moral and Miclo [ESAIM: Probab. Statist., 2003] and C{\'e}rou, Delyon, Guyader and Rousset [arXiv:1611.00515, arXiv:1709.06771].

Keywords

Cite

@article{arxiv.1806.04490,
  title  = {Central Limit Theorem for stationary Fleming--Viot particle systems in finite spaces},
  author = {Tony Lelievre and Loucas Pillaud-Vivien and Julien Reygner},
  journal= {arXiv preprint arXiv:1806.04490},
  year   = {2019}
}