Nonidentical twins: Comparison of frequentist and Bayesian lasso for Cox models
From MaRDI portal
Publication:2803426
DOI10.1002/bimj.201400160zbMath1386.62072OpenAlexW2169792641WikidataQ40487442 ScholiaQ40487442MaRDI QIDQ2803426
Axel Benner, Maral Saadati, Manuela Zucknick
Publication date: 4 May 2016
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201400160
Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Reliability and life testing (62N05)
Related Items (2)
Integration of multiple genomic data sources in a Bayesian Cox model for variable selection and prediction ⋮ psbcSpeedUp
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- High-dimensional graphs and variable selection with the Lasso
- Inference with normal-gamma prior distributions in regression problems
- L1Penalized Estimation in the Cox Proportional Hazards Model
- Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples
- The Bayesian Lasso
- Bayesian lasso regression
- Bayesian Variable Selection in Linear Regression
- Partial likelihood
- Regularization and Variable Selection Via the Elastic Net
- Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective
- Empirical Bayes Gibbs sampling
- Exploration, normalization, and summaries of high density oligonucleotide array probe level data
- A review of Bayesian variable selection methods: what, how and which
This page was built for publication: Nonidentical twins: Comparison of frequentist and Bayesian lasso for Cox models