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General diffusion processes as limit of time-space Markov chains
Alexis Anagnostakis, Antoine Lejay and Denis Villemonais The Annals of Applied Probability 33(5) (2023) https://doi.org/10.1214/22-AAP1902
Properties of the EMCEL scheme for approximating irregular diffusions
Stefan Ankirchner, Thomas Kruse, Wolfgang Löhr and Mikhail Urusov Journal of Mathematical Analysis and Applications 509(1) 125931 (2022) https://doi.org/10.1016/j.jmaa.2021.125931
A General Framework to Simulate Diffusions with Discontinuous Coefficients and Local Times
Kailin Ding and Zhenyu Cui ACM Transactions on Modeling and Computer Simulation 32(4) 1 (2022) https://doi.org/10.1145/3559541
Wasserstein convergence rates for random bit approximations of continuous Markov processes
A functional limit theorem for coin tossing Markov chains
Stefan Ankirchner, Thomas Kruse and Mikhail Urusov Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 56(4) (2020) https://doi.org/10.1214/20-AIHP1066
An exponential timestepping algorithm for diffusion with discontinuous coefficients
One-dimensional parabolic diffraction equations: pointwise estimates and discretization of related stochastic differential equations with weighted local times