Pages that link to "Item:Q4908784"

The following pages link to Generalized double Pareto shrinkage (Q4908784):

Displaying 41 items.

• Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods (Q3391194) (← links)
• Scalable Bayesian Regression in High Dimensions With Multiple Data Sources (Q3391441) (← links)
• (Q4636988) (← links)
• Bayesian MAP estimation using Gaussian and diffused‐gamma prior (Q4960925) (← links)
• The generalized double Lomax distribution with applications (Q4965770) (← links)
• (Q5004047) (← links)
• A non-convex regularization approach for stable estimation of loss development factors (Q5014498) (← links)
• The adaptive normal-hypergeometric-inverted-beta priors for sparse signals (Q5033960) (← links)
• A weakly informative prior for Bayesian dynamic model selection with applications in fMRI (Q5035723) (← links)
• Shrinkage estimation of fixed and random effects in linear quantile mixed models (Q5044676) (← links)
• (Q5053222) (← links)
• Bayesian reciprocal LASSO quantile regression (Q5055140) (← links)
• Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors (Q5066449) (← links)
• Spatial Shrinkage Via the Product Independent Gaussian Process Prior (Q5066489) (← links)
• Bayesian Approaches to Shrinkage and Sparse Estimation (Q5100721) (← links)
• Comparison and contrast of two general functional regression modelling frameworks (Q5142167) (← links)
• Functional Horseshoe Priors for Subspace Shrinkage (Q5146030) (← links)
• Targeted Random Projection for Prediction From High-Dimensional Features (Q5146048) (← links)
• Large-scale multiple hypothesis testing with the normal-beta prime prior (Q5205847) (← links)
• Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events (Q5229893) (← links)
• High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models (Q5231502) (← links)
• Prediction risk for the horseshoe regression (Q5381133) (← links)
• Trace Class Markov Chains for Bayesian Inference with Generalized Double Pareto Shrinkage Priors (Q5738830) (← links)
• Local Shrinkage Rules, Lévy Processes and Regularized Regression (Q5743138) (← links)
• STOCHASTIC CLAIMS RESERVING VIA A BAYESIAN SPLINE MODEL WITH RANDOM LOSS RATIO EFFECTS (Q5745188) (← links)
• Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification (Q5860777) (← links)
• The linearized alternating direction method of multipliers for low-rank and fused LASSO matrix regression model (Q5861439) (← links)
• Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior (Q5885111) (← links)
• Incorporating grouping information into Bayesian Gaussian graphical model selection (Q6053888) (← links)
• Discussions (Q6064352) (← links)
• Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
• Bayesian tensor response regression with an application to brain activation studies (Q6117929) (← links)
• Data augmentation for Bayesian deep learning (Q6122055) (← links)
• A Bayesian parametrized method for interval-valued regression models (Q6172925) (← links)
• High-dimensional Bayesian network classification with network global-local shrinkage priors (Q6203344) (← links)
• Estimation of \(l_0\) norm penalized models: a statistical treatment (Q6554254) (← links)
• Spatial Signal Detection Using Continuous Shrinkage Priors (Q6621663) (← links)
• The reciprocal Bayesian Lasso (Q6627982) (← links)
• Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data (Q6631064) (← links)
• Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery (Q6645130) (← links)
• Shrinkage priors via random imaginary data (Q6657829) (← links)