A Bernstein-von Mises theorem for smooth functionals in semiparametric models

20 May 2013

Papers citing "A Bernstein-von Mises theorem for smooth functionals in semiparametric models"

28 / 28 papers shown

Title
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 46 5 0 04 Mar 2024
Sparse Deep Learning for Time Series Data: Theory and Applications Mingxuan Zhang Y. Sun Faming Liang AI4TS OOD BDL 41 2 0 05 Oct 2023
Misspecified Bernstein-Von Mises theorem for hierarchical models Geerten Koers Botond Szabó A. van der Vaart 28 2 0 15 Aug 2023
Optimal plug-in Gaussian processes for modelling derivatives Zejian Liu Meng Li 23 6 0 20 Oct 2022
On the inability of Gaussian process regression to optimally learn compositional functions M. Giordano Kolyan Ray Johannes Schmidt-Hieber 53 12 0 16 May 2022
Finite samples inference and critical dimension for stochastically linear models V. Spokoiny 28 2 0 17 Jan 2022
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
Posterior asymptotics in Wasserstein metrics on the real line Minwoo Chae P. De Blasi S. Walker 25 6 0 12 Mar 2020
Uncertainty Quantification for Sparse Deep Learning Yuexi Wang Veronika Rockova BDL UQCV 36 31 0 26 Feb 2020
Accuracy of Gaussian approximation in nonparametric Bernstein -- von Mises Theorem V. Spokoiny Maxim Panov 6 9 0 14 Oct 2019
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions Richard Nickl Kolyan Ray 25 51 0 03 Oct 2018
Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery M. Reiß Johannes Schmidt-Hieber 32 7 0 11 Sep 2018
Large Sample Asymptotics of the Pseudo-Marginal Method Sebastian M. Schmon George Deligiannidis Arnaud Doucet M. Pitt 22 31 0 26 Jun 2018
Bayesian Projected Calibration of Computer Models Fangzheng Xie Yanxun Xu 8 34 0 03 Mar 2018
A Justification of Conditional Confidence Intervals E. Beutner Alexander Heinemann Stephan Smeekes 24 14 0 02 Oct 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 16 57 0 21 Aug 2017
On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems Yulong Lu 29 16 0 01 Jun 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 28 204 0 09 May 2017
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors Judith Rousseau Botond Szabó 26 22 0 16 Sep 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 33 15 0 06 Aug 2016
The semiparametric Bernstein-von Mises theorem for models with symmetric error Minwoo Chae 12 3 0 18 Oct 2015
Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator Judith Rousseau Botond Szabó 34 56 0 19 Apr 2015
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 36 4 0 13 Nov 2014
Finite Sample Bernstein -- von Mises Theorem for Semiparametric Problems Maxim Panov V. Spokoiny 63 44 0 29 Oct 2013
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures I. Castillo Richard Nickl 35 130 0 09 Oct 2013
On Bayesian supremum norm contraction rates I. Castillo 76 75 0 05 Apr 2013
A Bernstein-Von Mises Theorem for discrete probability distributions S. Boucheron Elisabeth Gassiat 115 49 0 14 Jul 2008