Stein's Lemma, Malliavin calculus, and tail bounds, with application to polymer fluctuation exponent
DOI10.1016/j.spa.2009.07.002zbMath1175.60056arXiv0901.0383OpenAlexW2095852781WikidataQ125054794 ScholiaQ125054794MaRDI QIDQ734658
Publication date: 13 October 2009
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0901.0383
Anderson modelMalliavin calculuspolymerrandom mediaWiener chaosStein's lemmafluctuation exponentsub-Gaussian
Gaussian processes (60G15) Statistical mechanics of polymers (82D60) Stochastic calculus of variations and the Malliavin calculus (60H07) Processes in random environments (60K37)
Related Items (10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Stein's method on Wiener chaos
- Superdiffusivity for a Brownian polymer in a continuous Gaussian environment
- Stein's method and exact Berry-Esseen asymptotics for functionals of Gaussian fields
- Second order Poincaré inequalities and CLTs on Wiener space
- Density formula and concentration inequalities with Malliavin calculus
- Exponential divergence estimates and heat kernel tail.
- On the Brownian-directed polymer in a Gaussian random environment
- An introduction to analysis on Wiener space
- Stein's method for concentration inequalities
- Supremum concentration inequality and modulus of continuity for sub-\(n\)th chaos processes
- Central limit theorems for multiple stochastic integrals and Malliavin calculus
- Sharp estimation of the almost-sure Lyapunov exponent for the Anderson model in continuous space
- The Malliavin Calculus and Related Topics
- LYAPUNOV EXPONENTS FOR STOCHASTIC ANDERSON MODELS WITH NON-GAUSSIAN NOISE
- An Introduction to Stein's Method
- Normal approximations by Stein's method
This page was built for publication: Stein's Lemma, Malliavin calculus, and tail bounds, with application to polymer fluctuation exponent