activity
20042025
most citedBayesian inverse problems with partial observations

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

math.PR2025

Simulation of infinite-dimensional diffusion bridges

Thorben Pieper-Sethmacher, Frank van der Meulen, Aad van der Vaart

Let X be the mild solution to a semilinear stochastic partial differential equation. In this article, we develop methodology to sample from the infinite-dimensional diffusion bridg…

math.ST2018★ 2 cited

Bayesian inverse problems with partial observations

Shota Gugushvili, Aad van der Vaart, Dong Yan

We study a nonparametric Bayesian approach to linear inverse problems under discrete observations. We use the discrete Fourier transform to convert our model into a truncated Gauss…

math.ST2015

Adaptive Bayesian credible sets in regression with a Gaussian process prior

Suzanne Sniekers, Aad van der Vaart

We investigate two empirical Bayes methods and a hierarchical Bayes method for adapting the scale of a Gaussian process prior in a nonparametric regression model. We show that all…

math.ST2010

A local maximal inequality under uniform entropy

Aad van der Vaart, Jon A. Wellner

We derive an upper bound for the mean of the supremum of the empirical process indexed by a class of functions that are known to have variance bounded by a small constant . The…

math.ST2004★ 1 cited

Estimating the causal effect of a time-varying treatment on time-to-event using structural nested failure time models

J. J. Lok, R. D. Gill, A. W. van der Vaart +1

In this paper we review an approach to estimating the causal effect of a time-varying treatment on time to some event of interest. This approach is designed for the situation where…