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Exponential ergodicity of exact and numerical solutions for McKean-Vlasov SDEs driven by L{\'e}vy noise

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Mean Field Games and Mean Field Type Control Theory
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Probabilistic Theory of Mean Field Games with Applications II: Mean Field Games with Common Noise and Master Equations
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On the subspaces ofL p (p>2) spanned by sequences of independent random variables
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Euler–Maruyama Approximations for Stochastic McKean–Vlasov Equations with Non-Lipschitz Coefficients
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Dimension-independent Lp convergence rate of propagation of chaos and numerical analysis for McKean-Vlasov stochastic differential equations
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Rectified deep neural networks overcome the curse of dimensionality when approximating solutions of McKean–Vlasov stochastic differential equations
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Emergent behaviour in multi-particle systems with non-local interactions
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Distribution dependent SDEs for Landau type equations
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Ubiquity of collective irregular dynamics in balanced networks of spiking neurons
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On stochastic equations with respect to semimartingales I.†
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McKean–Vlasov limit for interacting systems with simultaneous jumps
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A Fourier-based Picard-iteration approach for a class of McKean–Vlasov SDEs with Lévy jumps
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Strong convergence of Euler–Maruyama schemes for McKean–Vlasov stochastic differential equations under local Lipschitz conditions of state variables
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On Tamed Euler Approximations of SDEs Driven by Lévy Noise with Applications to Delay Equations
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Well-posedness and approximation of reflected McKean–Vlasov SDEs with applications
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Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons
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Propagation of chaos for stochastic spatially structured neuronal networks with delay driven by jump diffusions
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On explicit Milstein-type scheme for McKean–Vlasov stochastic differential equations with super-linear drift coefficient
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Wellposedness, exponential ergodicity and numerical approximation of fully super-linear McKean–Vlasov SDEs and associated particle systems
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A selective review of modern stochastic modeling: SDE/SPDE numerics, data-driven identification, and generative methods with applications in biomathematics
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