activity
20192026
most citedStatistical inference for a stochastic wave equation with Malliavin calculus

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2026

Strong Galerkin Approximation, Malliavin Regularity, and Blow-Up for a Mixed Local--Nonlocal Stochastic Wave Equation

Francisco Delgado-Vences, Jose Julian Pavon-Español

We investigate the dynamical behavior of a class of semilinear stochastic wave equations on a bounded smooth domain $\Ocal\subset\R^d$ driven by additive trace-class noise, where t…

math.NA2026

Stochastic Analysis of Fade Duration Using Wiener Chaos Expansion and Malliavin Calculus: Optimal Importance Sampling via Adaptive SGD

Francisco Delgado-Vences

Characterizing fade duration in wireless channels is fundamental for designing robust communication systems. Classical approaches -- Rice's level-crossing theory and Monte Carlo si…

stat.ML2026

Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent

Francisco Delgado-Vences, José Julián Pavón-Español, Arelly Ornelas

This study addresses the inverse problem of parameter estimation for Stochastic Differential Equations (SDEs) by minimizing a regularized discrepancy functional via Stochastic Grad…

math.ST2021★ 3 cited

Statistical inference for a stochastic wave equation with Malliavin calculus

F. Delgado-Vences, J. J. Pavon-Español

In this paper we study asymptotic properties of the maximum likelihood estimator (MLE) for the speed of a stochastic wave equation. We follow a well-known spectral approach to writ…

math.PR2019★ 1 cited

Drift Estimation for Discretely Sampled SPDEs

Igor Cialenco, Francisco Delgado-Vences, Hyun-Jung Kim

The aim of this paper is to study the asymptotic properties of the maximum likelihood estimator (MLE) of the drift coefficient for fractional stochastic heat equation driven by an…