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20192026
most citedNetwork inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model

5 citations · 10 across the 9 of their papers we have counts for

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physics.soc-ph2026

Stochastic compliance/evasion dynamics in tax models: a piecewise deterministic Markov process approach

Jonas Mayr, Amira Meddah, Irene Tubikanec

This paper introduces a novel stochastic framework for modelling tax evasion dynamics by extending the deterministic model of Bertotti and Modanese (2018) through the use of Piecew…

math.PR2026

Splitting methods for stochastic Hodgkin-Huxley type systems and a localized fundamental mean-square convergence theorem

Pierre Étoré, Anna Melnykova, Irene Tubikanec

Existing fundamental theorems for mean-square convergence of numerical methods for stochastic differential equations (SDEs) require globally or one-sided Lipschitz continuous coeff…