most citedOptimal testing using combined test statistics across independent studies

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

collaborators

5 papers

math.ST2026

Private Rate-Double-Robust Inference

Máté Kormos, Aad van der Vaart

We reconcile privacy protection and rate-double-robust inference. The privacy of individuals is protected by a local privacy mechanism: injecting noise into their sensitive data, r…

math.ST2023

Adaptation using spatially distributed Gaussian Processes

Botond Szabo, Amine Hadji, Aad van der Vaart

We consider the accuracy of an approximate posterior distribution in nonparametric regression problems by combining posterior distributions computed on subsets of the data defined…

math.ST20232 cited

Optimal testing using combined test statistics across independent studies

Botond Szabó, Aad van der Vaart, Lasse Vuursteen +1

Combining test statistics from independent trials or experiments is a popular method of meta-analysis. However, there is very limited theoretical understanding of the power of the…

math.ST2023

Adaptive and Efficient Isotonic Estimation in Wicksell's Problem

Francesco Gili, Geurt Jongbloed, Aad van der Vaart

We consider nonparametric estimation in Wicksell's problem which has relevant applications in astronomy for estimating the distribution of the positions of the stars in a galaxy gi…

math.ST2023

Semi-parametric Bernstein-von Mises in Linear Inverse Problems

Adel Magra, Aad van der Vaart, Harry van Zanten

We consider a Bayesian approach for the recovery of scalar parameters arising in inverse problems. We consider a general signal-in white noise model where we have access to two ind…