activity
20152026
most citedFundamental polytopes of metric trees via parallel connections of matroids

16 citations · 41 across the 17 of their papers we have counts for

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Showing math.PRShow all

7 papers · 1 filter

math.PR2025

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.PR2024

Asymptotic analysis for stationary distributions of scaled reaction networks

Linard Hoessly, Carsten Wiuf, Panqiu Xia

We study stationary distributions in the context of stochastic reaction networks. In particular, we are interested in complex balanced reaction networks and reduction of such netwo…

math.PR2023

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.PR2021

Fast reactions with non-interacting species in stochastic reaction networks

Linard Hoessly, Carsten Wiuf

We consider stochastic reaction networks modeled by continuous-time Markov chains. Such reaction networks often contain many reactions, potentially occurring at different time scal…

math.PR2020★ 1 cited

An algebraic approach to product-form stationary distributions for some reaction networks

Beatriz Pascual-Escudero, Linard Hoessly

Exact results for product-form stationary distributions of Markov chains are of interest in different fields. In stochastic reaction networks (CRNs), stationary distributions are m…

math.PR2019★ 7 cited

Stationary distributions via decomposition of stochastic reaction networks

Linard Hoessly

We examine reaction networks (CRNs) through their associated continuous-time Markov processes. Studying the dynamics of such networks is in general hard, both analytically and by s…

math.PR2018

Stationary distributions and condensation in autocatalytic CRN

Linard Hoessly, Christian Mazza

We investigate a broad family of non weakly reversible stochastically modeled reaction networks (CRN), by looking at their steady-state distributions. Most known results on station…