2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…