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19922026
most citedQuark Gluon Plasma an Color Glass Condensate at RHIC? The perspective from the BRAHMS experiment

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96 papers · 1 filter

math.PR2021★ 10 cited

Quantitative central limit theorems for the parabolic Anderson model driven by colored noises

David Nualart, Panqiu Xia, Guangqu Zheng

In this paper, we study the spatial averages of the solution to the parabolic Anderson model driven by a space-time Gaussian homogeneous noise that is colored in time and space. We…

math.PR2021★ 4 cited

Regularization of differential equations by two fractional noises

David Nualart, Ercan Sönmez

In this paper we show the existence and uniqueness of a solution for a stochastic differential equation driven by an additive noise which is the sum of two fractional Brownian moti…

math.PR2021★ 15 cited

The hyperbolic Anderson model: Moment estimates of the Malliavin derivatives and applications

Raluca M. Balan, David Nualart, Lluís Quer-Sardanyons +1

In this article, we study the hyperbolic Anderson model driven by a space-time \emph{colored} Gaussian homogeneous noise with spatial dimension . Under mild assumptions, we…

math.PR2020★ 14 cited

Quantitative normal approximations for the stochastic fractional heat equation

Obayda Assaad, David Nualart, Ciprian A. Tudor +1

In this article we present a {\it quantitative} central limit theorem for the stochastic fractional heat equation driven by a a general Gaussian multiplicative noise, including the…

math.PR2020★ 11 cited

Spatial ergodicity of stochastic wave equations in dimensions 1,2 and 3

David Nualart, Guangqu Zheng

In this note, we study a large class of stochastic wave equations with spatial dimension less than or equal to . Via a soft application of Malliavin calculus, we establish that…

math.PR2020

Spatial stationarity, ergodicity and CLT for parabolic Anderson model with delta initial condition in dimension

Davar Khoshnevisan, David Nualart, Fei Pu

Suppose that is the solution to a -dimensional parabolic Anderson model with delta initial condition and driven by a Gaussian noise tha…