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20162026
most citedA Central Limit Theorem for the stochastic wave equation with fractional noise

40 citations · 292 across the 28 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

math.PR2021★ 4 cited

Stein's method, Gaussian processes and Palm measures, with applications to queueing

A. D. Barbour, Nathan Ross, Guangqu Zheng

We develop a general approach to Stein's method for approximating a random process in the path space by a real continuous Gaussian process. We then use the approa…

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★ 6 cited

A simplified second-order Gaussian Poincaré inequality in discrete setting with applications

Peter Eichelsbacher, Benedikt Rednoß, Christoph Thäle +1

In this paper, a simplified second-order Gaussian Poincaré inequality for normal approximation of functionals over infinitely many Rademacher random variables is derived. It is bas…

math.PR2021★ 3 cited

Stein's method, smoothing and functional approximation

A. D. Barbour, Nathan Ross, Guangqu Zheng

Stein's method for Gaussian process approximation can be used to bound the differences between the expectations of smooth functionals of a càdlàg random process of interest…

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…