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Fully Bayesian Logistic Regression with Hyper-Lasso Priors for
  High-dimensional Feature Selection
v1v2v3v4 (latest)

Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection

13 May 2014
Longhai Li
W. Yao
    BDL
ArXiv (abs)PDFHTML

Papers citing "Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection"

2 / 2 papers shown
Title
Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG
  Package
Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package
Gregor Zens
Sylvia Fruhwirth-Schnatter
Helga Wagner
SyDa
49
5
0
07 Jan 2021
Tree Ensembles with Rule Structured Horseshoe Regularization
Tree Ensembles with Rule Structured Horseshoe Regularization
Malte Nalenz
M. Villani
65
21
0
16 Feb 2017
1