Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations

We develop a framework that allows the use of the multi-level Monte Carlo (MLMC) methodology (Giles2015) to calculate expectations with respect to the invariant measure of an ergodic SDE. In that context, we study the (over-damped) Langevin equations with a strongly concave potential. We show that,...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Giles, M, Majka, M, Szpruch, L, Vollmer, S, Zygalakis, K
स्वरूप: Journal article
भाषा:English
प्रकाशित: Springer 2019