Pages that link to "Item:Q2291315"
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The following pages link to A novel Bayesian approach for variable selection in linear regression models (Q2291315):
Displaying 21 items.
- Stochastic matching pursuit for Bayesian variable selection (Q692971) (← links)
- Bayesian structured variable selection in linear regression models (Q737001) (← links)
- Comparison of Bayesian objective procedures for variable selection in linear regression (Q1019478) (← links)
- Bayesian variable selection using an adaptive powered correlation prior (Q1022001) (← links)
- Some connections between Bayesian and non-Bayesian methods for regression model selection (Q1613040) (← links)
- Big data Bayesian linear regression and variable selection by normal-inverse-gamma summation (Q1631590) (← links)
- Bayesian variable selection in linear regression (Q1733296) (← links)
- Bayesian variable selection for linear models using I-priors (Q1982679) (← links)
- Shared Bayesian variable shrinkage in multinomial logistic regression (Q2084055) (← links)
- Objective Bayesian group variable selection for linear model (Q2155018) (← links)
- A loss-based prior for variable selection in linear regression methods (Q2226693) (← links)
- High-dimensional posterior consistency for hierarchical non-local priors in regression (Q2297241) (← links)
- Bayesian projection approaches to variable selection in generalized linear models (Q2445776) (← links)
- (Q3017196) (← links)
- Objective Bayesian variable selection in linear regression model (Q3390614) (← links)
- A simple approach in regression variable selection (Q3462855) (← links)
- (Q3465095) (← links)
- OUP accepted manuscript (Q5384474) (← links)
- Bayesian inference for high‐dimensional linear regression under mnet priors (Q5507353) (← links)
- Bayesian variable selection for linear regression with the κ-G priors (Q6042991) (← links)
- Variable Selection in the Presence of Factors: A Model Selection Perspective (Q6110705) (← links)
