Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression

25 November 2014

Papers citing "Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression"

9 / 9 papers shown

Title
Posterior Contraction and Testing for Multivariate Isotonic Regression Kang-Kang Wang S. Ghosal 21 4 0 22 Nov 2022
Optimal plug-in Gaussian processes for modelling derivatives Zejian Liu Meng Li 31 6 0 20 Oct 2022
Optimal recovery and uncertainty quantification for distributed Gaussian process regression Amine Hadji Tammo Hesselink Botond Szabó 35 3 0 06 May 2022
Uncertainty Quantification for nonparametric regression using Empirical Bayesian neural networks Stefan Franssen Botond Szabó BDL UQCV 27 4 0 27 Apr 2022
Optional Pólya trees: posterior rates and uncertainty quantification I. Castillo Thibault Randrianarisoa 24 0 0 11 Oct 2021
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Yun Yang A. Bhattacharya D. Pati 17 53 0 16 Aug 2017
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors Judith Rousseau Botond Szabó 33 22 0 16 Sep 2016
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 38 4 0 13 Nov 2014
Adaptive Bayesian density regression for high-dimensional data Weining Shen S. Ghosal 51 26 0 11 Mar 2014