Pages that link to "Item:Q485913"

The following pages link to The horseshoe estimator: posterior concentration around nearly black vectors (Q485913):

Displaying 50 items.

• The Bayesian analysis of complex, high-dimensional models: can it be CODA? (Q252815) (← links)
• Conditions for posterior contraction in the sparse normal means problem (Q276234) (← links)
• Sub-optimality of some continuous shrinkage priors (Q335657) (← links)
• High-dimensional multivariate posterior consistency under global-local shrinkage priors (Q1661340) (← links)
• Bayesian estimation of sparse signals with a continuous spike-and-slab prior (Q1747745) (← links)
• Penalising model component complexity: a principled, practical approach to constructing priors (Q1790379) (← links)
• Joint mean-covariance estimation via the horseshoe (Q2022549) (← links)
• The horseshoe-like regularization for feature subset selection (Q2040669) (← links)
• Dynamic regression models for time-ordered functional data (Q2057327) (← links)
• Ultra high-dimensional multivariate posterior contraction rate under shrinkage priors (Q2057840) (← links)
• Sparse estimation in linear dynamic networks using the stable spline horseshoe prior (Q2097847) (← links)
• Bayesian hierarchical modeling: application towards production results in the Eagle Ford Shale of South Texas (Q2135585) (← links)
• A Bayesian model of dose-response for cancer drug studies (Q2154172) (← links)
• Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation (Q2156815) (← links)
• Horseshoe shrinkage methods for Bayesian fusion estimation (Q2157506) (← links)
• Projective inference in high-dimensional problems: prediction and feature selection (Q2188473) (← links)
• Bayesian shrinkage towards sharp minimaxity (Q2192317) (← links)
• Function-on-scalar quantile regression with application to mass spectrometry proteomics data (Q2194443) (← links)
• A global-local approach for detecting hotspots in multiple-response regression (Q2194477) (← links)
• Posterior contraction rates for stochastic block models (Q2206755) (← links)
• Empirical priors and coverage of posterior credible sets in a sparse normal mean model (Q2206756) (← links)
• On spike and slab empirical Bayes multiple testing (Q2215749) (← links)
• Spike and slab empirical Bayes sparse credible sets (Q2278657) (← links)
• Needles and straw in a haystack: robust confidence for possibly sparse sequences (Q2278660) (← links)
• Lasso meets horseshoe: a survey (Q2292393) (← links)
• Contraction properties of shrinkage priors in logistic regression (Q2301116) (← links)
• Rate-optimal posterior contraction for sparse PCA (Q2343963) (← links)
• Comparison of Bayesian predictive methods for model selection (Q2361448) (← links)
• Bayesian analysis of nonparanormal graphical models using rank-likelihood (Q2676906) (← links)
• Nearly optimal Bayesian shrinkage for high-dimensional regression (Q2683046) (← links)
• The Spike-and-Slab LASSO (Q4690970) (← links)
• Fully Bayesian logistic regression with hyper-LASSO priors for high-dimensional feature selection (Q4960726) (← links)
• (Q4969130) (← links)
• (Q4969262) (← links)
• The adaptive normal-hypergeometric-inverted-beta priors for sparse signals (Q5033960) (← links)
• Bayesian Approaches to Shrinkage and Sparse Estimation (Q5100721) (← links)
• Large-scale multiple hypothesis testing with the normal-beta prime prior (Q5205847) (← links)
• Local Posterior Concentration Rate for Multilevel Sparse Sequences (Q5267855) (← links)
• Prediction risk for the horseshoe regression (Q5381133) (← links)
• Bayesian estimation of subset threshold autoregressions: short-term forecasting of traffic occupancy (Q5861442) (← links)
• Bayesian wavelet de-noising with the caravan prior (Q5881055) (← links)
• Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior (Q5885111) (← links)
• Weighted Bayesian bootstrap for scalable posterior distributions (Q6059510) (← links)
• Horseshoe Regularisation for Machine Learning in Complex and Deep Models¹ (Q6064351) (← links)
• Time fused coefficient SIR model with application to COVID-19 epidemic in the United States (Q6078138) (← links)
• Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+ (Q6080791) (← links)
• Optimal false discovery control of minimax estimators (Q6103221) (← links)
• Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
• Bayesian tensor response regression with an application to brain activation studies (Q6117929) (← links)
• Informative Bayesian neural network priors for weak signals (Q6121979) (← links)