7 papers · 1 filter
Ergodic approximation for the invariant distribution: An abstract framework for law-dependent dynamics
Aurélien Alfonsi, Vlad Bally, Lucia Caramellino +1
This paper studies the approximation of invariant distributions for a broad class of law-dependent dynamics, including McKean-Vlasov stochastic differential equations and Boltzmann…
Weak solutions of Stochastic Volterra Equations in convex domains with general kernels
Eduardo Abi Jaber, Aurélien Alfonsi, Guillaume Szulda
We establish new weak existence results for -dimensional Stochastic Volterra Equations (SVEs) with continuous coefficients and possibly singular one-dimensional non-convolution…
Euler-type approximation for the invariant measure: An abstract framework
Aurélien Alfonsi, Vlad Bally, Arturo Kohatsu-Higa
We establish a general framework to study the rate of convergence of a Euler type approximation scheme with decreasing time steps to the invariant measure, for a general class of s…
Weak error approximation for rough and Gaussian mean-reverting stochastic volatility models
Aurélien Alfonsi, Ahmed Kebaier
For a class of stochastic models with Gaussian and rough mean-reverting volatility that embeds the genuine rough Stein-Stein model, we study the weak approximation rate when using…
Wasserstein projections in the convex order: regularity and characterization in the quadratic Gaussian case
Aurélien Alfonsi, Benjamin Jourdain
In this paper, we first show continuity of both Wasserstein projections in the convex order when they are unique. We also check that, in arbitrary dimension , the quadratic Wass…
Quadratic Wasserstein distance between Gaussian laws revisited with correlation
Aurélien Alfonsi, Benjamin Jourdain
In this note, we give a simple derivation of the formula obtained in Dowson and Landau (1982), Olkin and Pukelsheim (1982) and Givens and Shortt (1984) for the quadratic Wasserstei…