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math.PR2026

Identifiability of SDEs for reaction networks

Louis Faul, Linard Hoessly, Panqiu Xia

Biochemical reaction networks are widely applied across scientific disciplines to model complex dynamic systems. We investigate the diffusion approximation of reaction networks wit…

math.PR2025

Discrete Feynman-Kac approximation for parabolic Anderson model using random walks

Panqiu Xia, Jiayu Zheng

In this paper, we introduce a natively positive approximation method based on the Feynman-Kac representation using random walks, to approximate the solution to the one-dimensional…

math.PR2025

Reaction cleaving and complex-balanced distributions for chemical reaction networks with general kinetics

Linard Hoessly, Carsten Wiuf, Panqiu Xia

Reaction networks have become a major modelling framework in the biological sciences from epidemiology and population biology to genetics and cellular biology. In recent years, muc…

math.PR2025

Almost sure central limit theorems for parabolic/hyperbolic Anderson models with Gaussian colored noises

Panqiu Xia, Guangqu Zheng

This short note is devoted to establishing the almost sure central limit theorem for the parabolic/hyperbolic Anderson models driven by colored-in-time Gaussian noises, completing…

math.PR2024

Almost sure central limit theorem for the hyperbolic Anderson model with Lévy white noise

Raluca M. Balan, Panqiu Xia, Guangqu Zheng

In this paper, we present an almost sure central limit theorem (ASCLT) for the hyperbolic Anderson model (HAM) with a Lévy white noise in a finite-variance setting, complementing…