Energy image density property and the lent particle method for Poisson measures
Nicolas Bouleau (CERMICS), Laurent Denis (DP)

TL;DR
This paper presents a novel approach combining energy image density properties and the lent particle method to analyze the absolute continuity of Poisson functionals, offering new tools for stochastic analysis.
Contribution
It introduces the energy image density property and the lent particle method as innovative techniques for studying Poisson measures.
Findings
Establishes conditions for absolute continuity of Poisson functionals
Develops the lent particle method for stochastic analysis
Provides new insights into Dirichlet forms and Poisson measures
Abstract
We introduce a new approach to absolute continuity of laws of Poisson functionals. It is based on the {\it energy image density} property for Dirichlet forms and on what we call {\it the lent particle method} which consists in adding a particle and taking it back after some calculation.
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.
