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0807.2734
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Lower bounds for posterior rates with Gaussian process priors
17 July 2008
I. Castillo
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Papers citing
"Lower bounds for posterior rates with Gaussian process priors"
45 / 45 papers shown
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Posterior contraction rates for constrained deep Gaussian processes in density estimation and classication
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Designing truncated priors for direct and inverse Bayesian problems
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Posterior contraction for deep Gaussian process priors
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16 May 2021
Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression
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Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals
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Variable Selection Consistency of Gaussian Process Regression
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Kriging prediction with isotropic Matérn correlations: Robustness and experimental design
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Uncertainty Quantification for Bayesian CART
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Veronika Rockova
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Bayesian variance estimation in the Gaussian sequence model with partial information on the means
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Johannes Schmidt-Hieber
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Interpolation error of misspecified Gaussian process regression
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Galina Boeva
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Empirical Bayes analysis of spike and slab posterior distributions
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Romain Mismer
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Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
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Mihaela van der Schaar
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Convergence Rates of Variational Posterior Distributions
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Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
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Sub-optimality of some continuous shrinkage priors
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Natesh S. Pillai
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Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation
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Harry Van Zanten
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Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
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Botond Szabó
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Adaptive Bayesian estimation in indirect Gaussian sequence space models
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Anna Simoni
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Optimality of Poisson processes intensity learning with Gaussian processes
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Adaptive Bernstein-von Mises theorems in Gaussian white noise
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Bayesian linear regression with sparse priors
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Adaptive Bayesian procedures using random series priors
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Rate-optimal posterior contraction for sparse PCA
Chao Gao
Harrison H. Zhou
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30 Nov 2013
Honest Bayesian confidence sets for the L2-norm
Botond Szabó
A. van der Vaart
Harry Van Zanten
329
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29 Nov 2013
A Bernstein-von Mises theorem for smooth functionals in semiparametric models
I. Castillo
Judith Rousseau
522
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20 May 2013
On Bayesian supremum norm contraction rates
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451
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Semi-parametric Bayesian Partially Identified Models based on Support Function
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Anna Simoni
375
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Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences
I. Castillo
A. van der Vaart
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06 Nov 2012
Bayes procedures for adaptive inference in inverse problems for the white noise model
Probability theory and related fields (PTRF), 2012
B. Knapik
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A. van der Vaart
J. H. Zanten
324
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17 Sep 2012
Thomas Bayes' walk on manifolds
I. Castillo
G. Kerkyacharian
D. Picard
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03 Jun 2012
MCMC-free adaptive Bayesian procedures using random series prior
Weining Shen
S. Ghosal
389
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19 Apr 2012
Anisotropic function estimation using multi-bandwidth Gaussian processes
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A. Bhattacharya
D. Pati
David B. Dunson
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Bayesian test of normality versus a Dirichlet process mixture alternative
S. Tokdar
Ryan Martin
328
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Gradient Flow from a Random Walk in Hilbert Space
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Andrew M. Stuart
Alexandre Hoang Thiery
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608
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06 Aug 2011
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