On minimax optimality of sparse Bayes predictive density estimates
From MaRDI portal
Publication:2119220
DOI10.1214/21-AOS2086zbMath1486.62094arXiv1707.04380OpenAlexW2734477552MaRDI QIDQ2119220
Gourab Mukherjee, Iain M. Johnstone
Publication date: 23 March 2022
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1707.04380
sparsitypredictive densityhigh dimensionalleast favorable priorspike and slabasymptotic minimaxityproper Bayes rule
Density estimation (62G07) Ridge regression; shrinkage estimators (Lasso) (62J07) Minimax procedures in statistical decision theory (62C20) Empirical decision procedures; empirical Bayes procedures (62C12)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Minimaxity in predictive density estimation with parametric constraints
- Asymptotic minimax risk of predictive density estimation for non-parametric regression
- Empirical Bayes predictive densities for high-dimensional normal models
- On predictive density estimation for location families under integrated squared error loss
- Admissible predictive density estimation
- Bayesian shrinkage prediction for the regression problem
- Estimation, prediction and the Stein phenomenon under divergence loss
- The maximum likelihood prior
- On minimax estimation of a sparse normal mean vector
- Bayesian estimation of sparse signals with a continuous spike-and-slab prior
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
- Needles and straw in a haystack: posterior concentration for possibly sparse sequences
- On improved predictive density estimation with parametric constraints
- On discrete priors and sparse minimax optimal predictive densities
- Exact minimax estimation of the predictive density in sparse Gaussian models
- Asymptotically minimax Bayes predictive densities
- Spike and slab variable selection: frequentist and Bayesian strategies
- On predictive density estimation for location families under integrated absolute error loss
- Improved minimax predictive densities under Kullback-Leibler loss
- Shrinkage priors for Bayesian prediction
- Negotiating multicollinearity with spike-and-slab priors
- From minimax shrinkage estimation to minimax shrinkage prediction
- A shrinkage predictive distribution for multivariate Normal observables
- Singular value shrinkage priors for Bayesian prediction
- The horseshoe estimator for sparse signals
- PREDICTIVE DENSITY ESTIMATION FOR MULTIPLE REGRESSION
- The Bayesian Lasso
- Bayesian Variable Selection in Linear Regression
- On asymptotic properties of predictive distributions
- The Spike-and-Slab LASSO
- Harmonic Bayesian Prediction Under $\alpha$ -Divergence
- Information criteria for prediction when distributions of data and target variables are different
- Dirichlet–Laplace Priors for Optimal Shrinkage
- Spike and Slab Gene Selection for Multigroup Microarray Data
- A review of Bayesian variable selection methods: what, how and which
- Fast exact Bayesian inference for sparse signals in the normal sequence model