Speaker
Mark Podolskij, Univ. of Luxembourg
Abstract
In this talk we present some recent advancement on non-parametric estimation of McKean-Vlasov stochastic differential equations. The main focus is on statistical inference for the convolution-type drift component. We will discuss solution to the underlying inverse problem under different observation schemes. We establish convergence rates for the proposed estimators and discuss their rate optimality.