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20142023
most citedEfficient prediction of grain boundary energies from atomistic simulations via sequential design

1 citations · 3 across the 9 of their papers we have counts for

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math.ST2021★ 1 cited

Multivariate density estimation from privatised data: universal consistency and minimax rates

László Györfi, Martin Kroll

We revisit the classical problem of nonparametric density estimation but impose local differential privacy constraints. Under such constraints, the original multivariate data $X_1,…

math.ST2021

Asymptotic equivalence for nonparametric regression with dependent errors: Gauss-Markov processes

Holger Dette, Martin Kroll

For the class of Gauss-Markov processes we study the problem of asymptotic equivalence of the nonparametric regression model with errors given by the increments of the process and…