57 citations · 224 across the 9 of their papers we have counts for
6 papers · 1 filter
Distributed function estimation: adaptation using minimal communication
Botond Szabo, Harry van Zanten
We investigate whether in a distributed setting, adaptive estimation of a smooth function at the optimal rate is possible under minimal communication. It turns out that the answer…
Adaptive distributed methods under communication constraints
Botond Szabo, Harry van Zanten
We study distributed estimation methods under communication constraints in a distributed version of the nonparametric random design regression model. We derive minimax lower bounds…
An asymptotic analysis of distributed nonparametric methods
Botond Szabo, Harry van Zanten
We investigate and compare the fundamental performance of several distributed learning methods that have been proposed recently. We do this in the context of a distributed version…
Optimal two-stage procedures for estimating location and size of the maximum of a multivariate regression function
Eduard Belitser, Subhashis Ghosal, Harry van Zanten
We propose a two-stage procedure for estimating the location $\boldsμ$ and size M of the maximum of a smooth d-variate regression function f. In the first stage, a preliminary esti…
Consistent nonparametric Bayesian inference for discretely observed scalar diffusions
Frank van der Meulen, Harry van Zanten
We study Bayes procedures for the problem of nonparametric drift estimation for one-dimensional, ergodic diffusion models from discrete-time, low-frequency data. We give conditions…
Bayesian inference with rescaled Gaussian process priors
Aad van der Vaart, Harry van Zanten
We use rescaled Gaussian processes as prior models for functional parameters in nonparametric statistical models. We show how the rate of contraction of the posterior distributions…