Pages that link to "Item:Q86320"

The following pages link to Sparsity information and regularization in the horseshoe and other shrinkage priors (Q86320):

Displaying 50 items.

• hsstan (Q86315) (← links)
• nestedcv (Q86321) (← links)
• Inconsistency identification in network meta-analysis via stochastic search variable selection (Q158820) (← links)
• Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies (Q405332) (← links)
• Bayesian sparse estimation using double Lomax priors (Q459603) (← links)
• Some priors for sparse regression modelling (Q908027) (← links)
• Prior distributions for objective Bayesian analysis (Q1631565) (← links)
• Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
• Joint mean-covariance estimation via the horseshoe (Q2022549) (← links)
• The horseshoe-like regularization for feature subset selection (Q2040669) (← links)
• Bayesian deconvolution and quantification of metabolites from \(J\)-resolved NMR spectroscopy (Q2057325) (← links)
• Bayesian inference over the Stiefel manifold via the Givens representation (Q2057336) (← links)
• Implicitly adaptive importance sampling (Q2058716) (← links)
• A spatial mixed-effects regression model for electoral data (Q2059109) (← links)
• Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing (Q2080726) (← links)
• Modeling obesity rate with spatial auto-correlation: a case study (Q2088540) (← links)
• Fast Bayesian inference on spectral analysis of multivariate stationary time series (Q2101377) (← links)
• Bayesian sparse convex clustering via global-local shrinkage priors (Q2135928) (← links)
• Geometric ergodicity of Gibbs samplers for the horseshoe and its regularized variants (Q2136599) (← links)
• Horseshoe shrinkage methods for Bayesian fusion estimation (Q2157506) (← links)
• Projective inference in high-dimensional problems: prediction and feature selection (Q2188473) (← links)
• A global-local approach for detecting hotspots in multiple-response regression (Q2194477) (← links)
• Variance prior forms for high-dimensional Bayesian variable selection (Q2290703) (← links)
• Lasso meets horseshoe: a survey (Q2292393) (← links)
• Shrinkage priors for Bayesian penalized regression (Q2332812) (← links)
• The horseshoe estimator for sparse signals (Q3585407) (← links)
• Generalized double Pareto shrinkage (Q4908784) (← links)
• Fully Bayesian logistic regression with hyper-LASSO priors for high-dimensional feature selection (Q4960726) (← links)
• (Q4969209) (← links)
• Bayesian Joint Modeling of Multiple Brain Functional Networks (Q4999125) (← links)
• Empirical Bayesian Inference Using a Support Informed Prior (Q5097846) (← links)
• Functional Horseshoe Priors for Subspace Shrinkage (Q5146030) (← links)
• (Q5214292) (← links)
• Default Bayesian analysis with global-local shrinkage priors (Q5384424) (← links)
• Time fused coefficient SIR model with application to COVID-19 epidemic in the United States (Q6078138) (← links)
• Screening Methods for Linear Errors-in-Variables Models in High Dimensions (Q6079786) (← links)
• Marginally calibrated response distributions for end-to-end learning in autonomous driving (Q6104155) (← links)
• Using reference models in variable selection (Q6104420) (← links)
• The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models (Q6107413) (← links)
• Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
• A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant (Q6111538) (← links)
• Informative Bayesian neural network priors for weak signals (Q6121979) (← links)
• Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates (Q6122024) (← links)
• A Review of Data‐Driven Discovery for Dynamic Systems (Q6131430) (← links)
• A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging (Q6138589) (← links)
• A Dynamic Binary Probit Model with Time-Varying Parameters and Shrinkage Prior (Q6150368) (← links)
• Horseshoe Priors for Edge-Preserving Linear Bayesian Inversion (Q6156655) (← links)
• A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms (Q6162876) (← links)
• Intuitive joint priors for Bayesian linear multilevel models: the R2D2M2 prior (Q6170612) (← links)
• A comparative study on high-dimensional bayesian regression with binary predictors (Q6172140) (← links)