3 papers
stat.ML2026
Learning stochastic multiscale models through normalizing flows
Anan Saha, Arnab Ganguly
Many systems in physics, engineering, and biology exhibit multiscale stochastic dynamics, where low-dimensional slow variables evolve under the influence of high-dimensional fast p…
math.PR2026
Statistical inference for a multiscale stochastic model of enzyme kinetics via propagation of chaos
Arnab Ganguly, Wasiur R. KhudaBukhsh
We study a class of Stochastic Differential Equations (SDEs) with jumps modeling multistage Michaelis--Menten enzyme kinetics, in which a substrate is sequentially transformed into…
math.PR2025
Asymptotic Analysis of the Total Quasi-Steady State Approximation for the Michaelis--Menten Enzyme Kinetic Reactions
Arnab Ganguly, Wasiur R. KhudaBukhsh
We consider a stochastic model of the Michaelis-Menten (MM) enzyme kinetic reactions in terms of Stochastic Differential Equations (SDEs) driven by Poisson Random Measures (PRMs).…