Comment: ``Bayes, oracle Bayes and empirical Bayes
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Publication:2325629
DOI10.1214/19-STS707zbMath1420.62030OpenAlexW2962944860WikidataQ127486245 ScholiaQ127486245MaRDI QIDQ2325629
Publication date: 27 September 2019
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ss/1563501635
Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12)
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- Bayes procedures for adaptive inference in inverse problems for the white noise model
- The Bernstein-von Mises theorem for the proportional hazard model
- A semiparametric Bernstein-von Mises theorem for Gaussian process priors
- Adaptive Bernstein-von Mises theorems in Gaussian white noise
- An analysis of Bayesian inference for nonparametric regression
- Bernstein-von Mises theorem for linear functionals of the density
- On differentiable functionals
- Bayesian linear regression with sparse priors
- A Bernstein-von Mises theorem for smooth functionals in semiparametric models
- Adaptive Bayesian credible sets in regression with a Gaussian process prior
- Adaptive Bayesian density estimation in \(L^p\)-metrics with Pitman-Yor or normalized inverse-Gaussian process kernel mixtures
- Bayesian nonparametric estimators derived from conditional Gibbs structures
- Posterior convergence rates of Dirichlet mixtures at smooth densities
- Consistency of maximum likelihood estimators for certain nonparametric families, in particular: Mixtures
- Size-biased sampling of Poisson point processes and excursions
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Discreteness of Ferguson selections
- Uncertainty quantification for the horseshoe (with discussion)
- Empirical Bayes analysis of spike and slab posterior distributions
- Bayesian estimation of sparse signals with a continuous spike-and-slab prior
- Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities.
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
- Exchangeable and partially exchangeable random partitions
- Asymptotics for a Bayesian nonparametric estimator of species variety
- Needles and straw in a haystack: posterior concentration for possibly sparse sequences
- Spike and slab variable selection: frequentist and Bayesian strategies
- General maximum likelihood empirical Bayes estimation of normal means
- Adaptive posterior contraction rates for the horseshoe
- Empirical Bayes methods in classical and Bayesian inference
- Frequentist coverage of adaptive nonparametric Bayesian credible sets
- A Bayesian analysis of some nonparametric problems
- Inference with normal-gamma prior distributions in regression problems
- An asymptotic analysis of a class of discrete nonparametric priors
- Inconsistency of Pitman-Yor process mixtures for the number of components
- Impact of Model Choice on LR Assessment in Case of Rare Haplotype Match (Frequentist Approach)
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- Sampling the Dirichlet Mixture Model with Slices
- The horseshoe estimator for sparse signals
- Bayesian Nonparametric Estimation of the Probability of Discovering New Species
- Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh
- Bayesian Variable Selection in Linear Regression
- Estimating Normal Means with a Dirichlet Process Prior
- On Profile Likelihood
- Gibbs Sampling Methods for Stick-Breaking Priors
- Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
- Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
- Fundamentals of Nonparametric Bayesian Inference
- Variational inference for Dirichlet process mixtures