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20182022
most citedSlack Reactants: A State-Space Truncation Framework to Estimate Quantitative Behavior of the Chemical Master Equation

2 citations · 4 across the 2 of their papers we have counts for

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math.PR20202 cited

Slack Reactants: A State-Space Truncation Framework to Estimate Quantitative Behavior of the Chemical Master Equation

Jinsu Kim, Jason Dark, German Enciso +1

State space truncation methods are widely used to approximate solutions of the chemical master equation. While most methods of this kind focus on truncating the state space directl…

math.PR2020

Stationary distributions of systems with Discreteness Induced Transitions

Enrico Bibbona, Jinsu Kim, Carsten Wiuf

We provide a theoretical analysis of some autocatalytic reaction networks exhibiting the phenomenon of discretely induced transitions (DITs). The family of networks that we address…

math.PR2019

Accuracy of Multiscale Reduction for Stochastic Reaction Systems

German Enciso, Jinsu Kim

Stochastic models of chemical reaction networks are an important tool to describe and analyze noise effects in cell biology. When chemical species and reaction rates in a reaction…

math.PR2019

Stochastically modeled weakly reversible reaction networks with a single linkage class

David F. Anderson, Daniele Cappelletti, Jinsu Kim

It has been known for nearly a decade that deterministically modeled reaction networks that are weakly reversible and consist of a single linkage class have trajectories that are b…

math.PR2018

Tier structure of strongly endotactic reaction networks

David Anderson, Daniele Cappelletti, Jinsu Kim +1

Reaction networks are mainly used to model the time-evolution of molecules of interacting chemical species. Stochastic models are typically used when the counts of the molecules ar…