392 citations
- University of AmsterdamNL25 papers
- Argonne National LaboratoryUS14 papers
- National Institute for Subatomic PhysicsNL14 papers
- A. Alikhanyan National LaboratoryAM13 papers
- Thomas Jefferson National Accelerator FacilityUS10 papers
- Hampton UniversityUS9 papers
- University of Colorado BoulderUS9 papers
- Massachusetts Institute of TechnologyUS8 papers
- University of Illinois Urbana-ChampaignUS8 papers
- University of MichiganUS8 papers
- University of VirginiaUS8 papers
- Florida International UniversityUS7 papers
6 papers · 2 filters
Estimation of the distribution of random shifts deformation
Ismael Castillo, Jean-Michel Loubes
Consider discrete values of functions shifted by unobserved translation effects, which are independent realizations of a random variable with unknown distribution , modeling the…
Optimal weighting for false discovery rate control
Etienne Roquain, Mark Van De Wiel
How to weigh the Benjamini-Hochberg procedure? In the context of multiple hypothesis testing, we propose a new step-wise procedure that controls the false discovery rate (FDR) and…
Lower bounds for posterior rates with Gaussian process priors
Ismaël Castillo
Upper bounds for rates of convergence of posterior distributions associated to Gaussian process priors are obtained by van der Vaart and van Zanten in [14] and expressed in terms o…
Rates of contraction of posterior distributions based on Gaussian process priors
A. W. van der Vaart, J. H. van Zanten
We derive rates of contraction of posterior distributions on nonparametric or semiparametric models based on Gaussian processes. The rate of contraction is shown to depend on the p…
Higher order influence functions and minimax estimation of nonlinear functionals
James Robins, Lingling Li, Eric Tchetgen +1
We present a theory of point and interval estimation for nonlinear functionals in parametric, semi-, and non-parametric models based on higher order influence functions (Robins (20…
Nonparametric Bayesian model selection and averaging
Subhashis Ghosal, Jüri Lember, Aad van der Vaart
We consider nonparametric Bayesian estimation of a probability density based on a random sample of size from this density using a hierarchical prior. The prior consists, fo…