3 papers
math.PR2019
Approximation of Hilbert-valued Gaussians on Dirichlet structures
Solesne Bourguin, Simon Campese
We introduce a framework to derive quantitative central limit theorems in the context of non-linear approximation of Gaussian random variables taking values in a separable Hilbert…
math.PR2018
Continuous Breuer-Major theorem: tightness and non-stationarity
Simon Campese, Ivan Nourdin, David Nualart
Let be a zero-mean Gaussian stationary process with covariance function satisfying . Let be a sq…
math.PR2018
Four moments theorems on Markov chaos
Solesne Bourguin, Simon Campese, Nikolai Leonenko +1
We obtain quantitative Four Moments Theorems establishing convergence of the laws of elements of a Markov chaos to a Pearson distribution, where the only assumption we make on the…