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In this lecture, I will talk about the large deviation problems in random interlacements, in particular the LDP of the occupation measure, and discuss its relations to sharp asymptotic probabilities o...
Statistical analysis of attacks on block ciphers have mostly used normal approximations. A few recent works have proposed doing away with normal approximations and instead use Chernoff and Hoeffding b...
We consider a general class of statistical mechanical models of coherent structures in turbulence, which includes models of two-dimensional fluid motion, quasi-geostrophic flows, and dispersive waves....
We study a one-dimensional elliptic problem with highly oscillatory random diffusion coefficient. We derive a homogenized solution and a so-called Gaussian corrector.We also prove a “pointwise” large ...
Using a weak convergence approach, we prove a LPD for the solution of 2D stochastic Navier Stokes equations when the viscosity converges to 0 and the noise intensity is multiplied by the square root ...
Given an isotropic random vector $X$ with log-concave density in Euclidean space $\Real^n$, we study the concentration properties of $|X|$. We show in particular that: \[ \P(|X| \geq (1+t) \sqrt{n}) ...
We consider a lattice gas on the discrete d-dimensional torus (Z/NZ)^d with a generic translation invariant, finite range interaction satisfying a uniform strong mixing condition. The lattice gas perf...
We study large deviation properties of systems of weakly interacting particles modeled by Itô stochastic differential equations (SDEs).It is known under certain conditions that the corresponding...
Using the notion of consistency of empirical measures, under fairly general assumption we prove a joint large deviation principles in n for the empirical pair measure and empirical offspring measure...
In this article we prove the existence and uniqueness for degenerate stochastic differential equations with Sobolev (possibly singular) drift and diffusion coefficients in a generalized sense. In pa...
The purpose of the paper is to establish a large deviation principle for a certain class of increasing set-valued processes obeying Markovian dynamics. The obtained result is then applied to invest...
Let XI, X,, . .. be i.i.d. random variables with a commondf. P.LetS,=X,+ ...+ X,,n>1,andMm=max,s,Xk,n21. In this paper for a large class of subexponential distributions we estimate the rate of conv...
In this paper we present two large deviation results for weighted compound sums L:, aiXi, where Xis are i.i.d. (possibly lattice) random variables, a;s are non-negative real numbers, and N is a Poi...

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