On Bayesian supremum norm contraction rates

5 April 2013

Papers citing "On Bayesian supremum norm contraction rates"

40 / 40 papers shown

Title
Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Matérn and Confluent Hypergeometric Covariance Functions Xiao Fang A. Bhadra 14 0 0 12 Dec 2023
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training Masaaki Imaizumi AAML 25 4 0 08 Jul 2023
$Semiparametric inference using fractional posteriors$ Semiparametric inference using fractional posteriors Alice L'Huillier Luke Travis I. Castillo Kolyan Ray 17 5 0 19 Jan 2023
Optional Pólya trees: posterior rates and uncertainty quantification I. Castillo Thibault Randrianarisoa 24 0 0 11 Oct 2021
Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression Wei Cao Bing-Yi Jing 23 6 0 20 Apr 2021
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals Zejian Liu Meng Li 16 2 0 27 Nov 2020
On the Bernstein-von Mises theorem for the Dirichlet process Kolyan Ray A. van der Vaart 16 7 0 03 Aug 2020
Multiscale Bayesian Survival Analysis I. Castillo S. V. D. Pas 13 8 0 06 May 2020
Spike and Slab Pólya tree posterior distributions: adaptive inference I. Castillo Romain Mismer 9 2 0 27 Nov 2019
Kriging prediction with isotropic Matérn correlations: Robustness and experimental design Rui Tuo Wei Cao 14 34 0 13 Nov 2019
Uncertainty Quantification for Bayesian CART I. Castillo Veronika Rockova 22 15 0 16 Oct 2019
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions Richard Nickl Kolyan Ray 25 52 0 03 Oct 2018
Adaptive Bayesian density estimation in sup-norm Zacharie Naulet 22 6 0 15 May 2018
Bayesian Bandwidth Test and Selection for High-dimensional Banded Precision Matrices Kyoungjae Lee Lizhen Lin 10 2 0 23 Apr 2018
Posterior Contraction and Credible Sets for Filaments of Regression Functions Wei Li S. Ghosal 25 4 0 11 Mar 2018
On frequentist coverage errors of Bayesian credible sets in moderately high dimensions Keisuke Yano Kengo Kato 8 6 0 09 Mar 2018
Convergence Rates of Variational Posterior Distributions Fengshuo Zhang Chao Gao 22 104 0 07 Dec 2017
Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes Richard Nickl Jakob Sohl 31 36 0 22 Sep 2017
Efficient Nonparametric Bayesian Inference For X-Ray Transforms F. Monard Richard Nickl G. Paternain 18 57 0 21 Aug 2017
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Yun Yang A. Bhattacharya D. Pati 14 53 0 16 Aug 2017
Adaptive Supremum Norm Posterior Contraction: Wavelet Spike-and-Slab and Anisotropic Besov Spaces W. Yoo Vincent Rivoirard Judith Rousseau 28 11 0 06 Aug 2017
Bernstein - von Mises theorems for statistical inverse problems I: Schrödinger equation Richard Nickl 42 75 0 06 Jul 2017
Estimating Large Precision Matrices via Modified Cholesky Decomposition Kyoungjae Lee Jaeyong Lee 32 23 0 04 Jul 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 40 204 0 09 May 2017
Oracle posterior contraction rates under hierarchical priors Q. Han 17 6 0 25 Apr 2017
Using stacking to average Bayesian predictive distributions Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 38 336 0 06 Apr 2017
Optimal Bayesian Minimax Rates for Unconstrained Large Covariance Matrices Kyoungjae Lee Jaeyong Lee 14 15 0 24 Feb 2017
Bayes factor consistency S. Chib Todd A. Kuffner 11 23 0 01 Jul 2016
Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets" I. Castillo 9 5 0 07 Sep 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 52 57 0 06 Jun 2015
Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression W. Yoo S. Ghosal 22 86 0 25 Nov 2014
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 36 4 0 13 Nov 2014
Adaptive Bernstein-von Mises theorems in Gaussian white noise Kolyan Ray 37 56 0 12 Jul 2014
A general approach to posterior contraction in nonparametric inverse problems B. Knapik J. Salomond MedIm 33 32 0 01 Jul 2014
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures I. Castillo Richard Nickl 35 130 0 09 Oct 2013
Criteria for posterior consistency B. J. K. Kleijn Y. Y. Zhao 31 9 0 06 Aug 2013
On adaptive posterior concentration rates M. Hoffmann Judith Rousseau Johannes Schmidt-Hieber 55 84 0 22 May 2013
A Bernstein-von Mises theorem for smooth functionals in semiparametric models I. Castillo Judith Rousseau 47 117 0 20 May 2013
Concentration rate and consistency of the posterior under monotonicity constraints J. Salomond 27 28 0 09 Jan 2013
Convergence rates for Bayesian density estimation of infinite-dimensional exponential families Catia Scricciolo 128 48 0 01 Aug 2007