1 citations · 1 across the 1 of their papers we have counts for
2 papers
math-ph2026
Unifying non-Markovian Dynamics and Agent Heterogeneity in Scalable Stochastic Networks
Aurelien Pelissier, Miroslav Phan, Didier Le Bail +2
Stochastic processes underpin dynamics across biology, physics, epidemiology, and finance, yet accurately simulating them remains a major challenge. Classical approaches such as th…
q-bio.QM2022★ 1 cited
Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node properties
Aurelien Pelissier, Miroslav Phan, Didier Le Bail +2
Discrete stochastic processes are prevalent in natural systems, with applications in physics, biochemistry, epidemiology, sociology, and finance. While analytic solutions often can…