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High-Dimensional Bayesian Regularised Regression with the BayesReg
  Package
v1v2v3 (latest)

High-Dimensional Bayesian Regularised Regression with the BayesReg Package

21 November 2016
E. Makalic
Daniel F. Schmidt
ArXiv (abs)PDFHTML

Papers citing "High-Dimensional Bayesian Regularised Regression with the BayesReg Package"

9 / 9 papers shown
Title
Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing
Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing
Connor Cooper
Geoffrey I. Webb
Daniel F. Schmidt
BDL
12
0
0
29 May 2025
Interpretation of High-Dimensional Linear Regression: Effects of
  Nullspace and Regularization Demonstrated on Battery Data
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data
Joachim Schaeffer
Eric Lenz
W. Chueh
M. Bazant
Rolf Findeisen
R. D. Braatz
97
10
0
01 Sep 2023
Adaptive MCMC for Bayesian variable selection in generalised linear
  models and survival models
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models
Xitong Liang
Samuel Livingstone
Jim Griffin
80
6
0
01 Aug 2023
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
61
5
0
07 Jan 2021
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy
  Back
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back
Takahiro Yoshida
Ryohei Hisano
T. Ohnishi
79
7
0
25 Feb 2020
Theory of Optimal Bayesian Feature Filtering
Theory of Optimal Bayesian Feature Filtering
Ali Foroughi pour
Lori A. Dalton
11
4
0
09 Sep 2019
A novel Bayesian approach for variable selection in linear regression
  models
A novel Bayesian approach for variable selection in linear regression models
K. Posch
M. Arbeiter
J. Pilz
24
6
0
13 Mar 2019
Log-Scale Shrinkage Priors and Adaptive Bayesian Global-Local Shrinkage
  Estimation
Log-Scale Shrinkage Priors and Adaptive Bayesian Global-Local Shrinkage Estimation
Daniel F. Schmidt
E. Makalic
18
1
0
08 Jan 2018
Analytic solution and stationary phase approximation for the Bayesian
  lasso and elastic net
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
T. Michoel
54
1
0
25 Sep 2017
1