activity
20072026
most citedRate of convergence for Wong-Zakai-type approximations of Itô stochastic differential equations

5 citations · 19 across the 29 of their papers we have counts for

collaborators

38 papers

math.PR2026

The Tricomi equation in the hyperbolic half plane under additive space-time Gaussian White Noise perturbation

Enrico Bernardi, Alberto Lanconelli

We study the Cauchy problem for the Tricomi equation perturbed by space-time Gaussian White Noise. To prove existence and uniqueness of the solution, we employ a Fourier transform…

math.PR2026

Regularization by noise for Gevrey well-posedeness of a weakly hyperbolic operator

Enrico Bernardi, Alberto Lanconelli

We present an example of a linear partial differential equation whose Cauchy problem becomes well-posed when perturbed by noise. Specifically, we make clear how a suitable multipli…

math.PR2025

A note on Tricomi-type partial differential equations with white noise initial condition

Enrico Bernardi, Alberto Lanconelli

We study a class of Tricomi-type partial differential equations previously investigated in [28]. Firstly, we generalize the representation formula for the solution obtained there b…

math.PR2024

A new numerical scheme for Itô stochastic differential equations based on Wick-type Wong-Zakai arguments

Alberto Lanconelli, Berk Tan Perçin

The aim of this note is to propose a novel numerical scheme for drift-less one dimensional stochastic differential equations of Itô's type driven by standard Brownian motion. Our a…

math.ST2024

Non trivial optimal sampling rate for estimating a Lipschitz-continuous function in presence of mean-reverting Ornstein-Uhlenbeck noise

Enrico Bernardi, Alberto Lanconelli, Christopher S. A. Lauria +1

We examine a mean-reverting Ornstein-Uhlenbeck process that perturbs an unknown Lipschitz-continuous drift and aim to estimate the drift's value at a predetermined time horizon by…

stat.ME2024

A Novel Theoretical Framework for Exponential Smoothing

Enrico Bernardi, Alberto Lanconelli, Christopher S. A. Lauria

Simple Exponential Smoothing is a classical technique used for smoothing time series data by assigning exponentially decreasing weights to past observations through a recursive equ…