392 citations
- University of AmsterdamNL18 papers
- National Institute for Subatomic PhysicsNL12 papers
- A. Alikhanyan National LaboratoryAM10 papers
- Argonne National LaboratoryUS10 papers
- University of Colorado BoulderUS8 papers
- University of Illinois Urbana-ChampaignUS7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Hampton UniversityUS6 papers
- Institute for Theoretical and Experimental PhysicsRU6 papers
- Istituto Nazionale di Fisica NucleareIT6 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT6 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FerraraIT6 papers
9 papers · 1 filter
Adaptive Bayesian estimation using a Gaussian random field with inverse Gamma bandwidth
A. W. van der Vaart, J. H. van Zanten
We consider nonparametric Bayesian estimation inference using a rescaled smooth Gaussian field as a prior for a multidimensional function. The rescaling is achieved using a Gamma v…
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…