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math.PR2026

Parameter Estimation of the Stochastic Allen--Cahn Equation via variations

Simon Chony Acosta, Christian Olivera, Ciprian Tudor

This paper addresses statistical inference for stochastic partial differential equations. We study the stochastic Allen-Cahn equation driven by space-time white noise and analyze i…

math.PR2026

Pathwise quantitative particle approximation of nonlinear stochastic Fokker-Planck equations via relative entropy

Christian Olivera, Alexandre B. de Souza

We derive non-linear stochastic Fokker-Planck equation from stochastic systems particles with individual and environmental noise via relative entropy method, with pathwise quantita…

math.PR2025

Convergence Rate for Moderate Interaction particles and Application to Mean Field Games

Josué Knorst, Christian Olivera, Alexandre B. de Souza

We study two interacting particle systems, both modeled as a system of stochastic differential equations driven by Brownian motions with singular kernels and moderate interacti…

math.PR2025

Microscopic derivation of non-local models with anomalous diffusions from stochastic particle systems

Christian Olivera, Marielle Simon

This paper considers a large class of nonlinear integro-differential scalar equations which involve an anomalous diffusion (e.g. driven by a fractional Laplacian) and a non-local s…

math.PR2024

Quantitative particle approximation of nonlinear stochastic Fokker-Planck equations with singular kernel

Josué Knorst, Christian Olivera, Alexandre B. de Souza

We derive quantitative estimates for large stochastic systems of interacting particles perturbed by both idiosyncratic and environmental noises, as well as singular kernels. We pro…