arXiv Analytics

Sign in

arXiv:math/0610486 [math.PR]AbstractReferencesReviewsResources

Dirichlet forms in simulation

Nicolas Bouleau

Published 2006-10-16Version 1

Equipping the probability space with a local Dirichlet form with square field operator $\Gamma$ and generator $A$ allows to improve Monte Carlo computations of expectations, densities, and conditional expectations, as soon as we are able to simulate a random variable $X$ together with $\Gamma[X]$ and $A[X]$. We give examples on the Wiener space, on the Poisson space and on the Monte Carlo space. When $X$ is real-valued we give an explicit formula yielding the density at the speed of the law of large numbers.

Journal: Monte Carlo Methods and Applications 11 (2005) n4, 385-396
Categories: math.PR
Subjects: 31C25, 60H07, 65G99, 65C05, 65C20
Related articles: Most relevant | Search more
arXiv:math/0610485 [math.PR] (Published 2006-10-16)
Differential calculus for Dirichlet forms : the measure-valued gradient preserved by image
arXiv:math/0610392 [math.PR] (Published 2006-10-12)
Théorème de Donsker et formes de Dirichlet
arXiv:1301.6329 [math.PR] (Published 2013-01-27)
Improving Monte Carlo simulations by Dirichlet forms