Adaptive Bernstein-von Mises theorems in Gaussian white noise

12 July 2014

Papers citing "Adaptive Bernstein-von Mises theorems in Gaussian white noise"

21 / 21 papers shown

Title
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
On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems Jan Bohr Richard Nickl 13 17 0 17 May 2021
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 45 28 0 22 Oct 2020
Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors F. Monard Richard Nickl G. Paternain 25 35 0 31 Jul 2020
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions Richard Nickl Kolyan Ray 25 52 0 03 Oct 2018
Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes Richard Nickl Jakob Sohl 31 36 0 22 Sep 2017
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Yun Yang A. Bhattacharya D. Pati 14 53 0 16 Aug 2017
Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation Richard Nickl 44 75 0 06 Jul 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 40 204 0 09 May 2017
Posterior contraction rates for support boundary recovery M. Reiß Johannes Schmidt-Hieber 19 4 0 24 Mar 2017
Multiscale scanning in inverse problems K. Proksch Frank Werner Axel Munk 32 31 0 14 Nov 2016
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors Judith Rousseau Botond Szabó 33 22 0 16 Sep 2016
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 38 73 0 07 Jul 2016
Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" Mark G. Low Zongming Ma 27 4 0 07 Sep 2015
Posterior consistency and convergence rates for Bayesian inversion with hypoelliptic operators Hanne Kekkonen Matti Lassas S. Siltanen 19 22 0 07 Jul 2015
Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression W. Yoo S. Ghosal 27 86 0 25 Nov 2014
Frequentist coverage of adaptive nonparametric Bayesian credible sets Botond Szabó Van der Vaart V. Zanten 36 159 0 16 Oct 2013
A Bernstein-Von Mises Theorem for discrete probability distributions S. Boucheron Elisabeth Gassiat 120 49 0 14 Jul 2008
Uniform limit theorems for wavelet density estimators Evarist Giné Richard Nickl 93 82 0 09 May 2008