most citedOn nonparametric estimation of the interaction function in particle system models

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

math.ST2026

Nonparametric inference for density-dependent McKean--Vlasov diffusions

Denis Belomestny, Ekaterina Morozova

The present research is devoted to the nonparametric estimation of a density-dependent drift coefficient in a multivariate McKean--Vlasov diffusion from independent observations at…

math.PR2026

Density-Dependent McKean--Vlasov Diffusions: Subgaussian Occupancy Bounds and Polynomial Propagation of Chaos

Denis Belomestny, Ekaterina Morozova

We study the local density-dependent diffusion and a clipped, randomly shifted histogram particle approximation on .…

math.PR2026

Ergodic Properties of Non-Linear Density-Dependent Perturbations of the Ornstein-Uhlenbeck Process

Denis Belomestny, Ekaterina Morozova

The present paper considers McKean-Vlasov SDEs with density-dependent spatially unbounded drift, which may be viewed as a non-linear density-dependent perturbation of the Ornstein-…

math.ST2024★ 1 cited

On nonparametric estimation of the interaction function in particle system models

Denis Belomestny, Mark Podolskij, Shi-Yuan Zhou

This paper delves into a nonparametric estimation approach for the interaction function within diffusion-type particle system models. We introduce two estimation methods based upon…

math.ST2024

Polynomial rates via deconvolution for nonparametric estimation in McKean-Vlasov SDEs

Chiara Amorino, Denis Belomestny, Vytautė Pilipauskaitė +2

This paper investigates the estimation of the interaction function for a class of McKean-Vlasov stochastic differential equations. The estimation is based on observations of the as…