activity
20102026
most citedOn a class of stochastic differential equations with random and Hölder continuous coefficients arising in biological modeling

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

math.AP2026

Lack of Gevrey solvability for a model operator

Enrico Bernardi

We prove that the Cauchy problem for the model hyperbolic operator in \[ Q=-D_t^2+2xD_tD_y+D_x^2+x^3D_y^2+D_z^2+z^2D_y^2 \] is not locally solvable at the origin, in the…

math.ST2022

Large covariance matrix estimation via penalized log-det heuristics

Enrico Bernardi, Matteo Farnè

This paper provides a comprehensive estimation framework for large covariance matrices via a log-det heuristics augmented by a nuclear norm plus -norm penalty. We develop…

math.PR2021

On a class of stochastic hyperbolic equations with double characteristics

Enrico Bernardi, Alberto Lanconelli

We study the effect of Gaussian perturbations on a hyperbolic partial differential equation with double characteristics in two spatial dimensions. The coefficients of our partial d…

math.PR2020

A note about the invariance of the basic reproduction number for stochastically perturbed SIS models

Enrico Bernardi, Alberto Lanconelli

We try to justify rigorously, using a Wong-Zakai approximation argument, the susceptible-infected-susceptible (SIS) stochastic differential equation proposed in [2]. We discover th…

math.PR2019

Stochastic perturbation of a cubic anharmonic oscillator

Enrico Bernardi, Alberto Lanconelli

We perturb with an additive Gaussian white noise the Hamiltonian system associated to a cubic anharmonic oscillator. The stochastic system is assumed to start from initial conditio…

math.PR2018★ 1 cited

On a class of stochastic differential equations with random and Hölder continuous coefficients arising in biological modeling

Enrico Bernardi, Vinayak Chuni, Alberto Lanconelli

Inspired by the paper Greenhalgh et al. [5] we investigate a class of two dimensional stochastic differential equations related to susceptible-infected-susceptible epidemic models…