Incorporating grouping information in Bayesian variable selection with applications in genomics
From MaRDI portal
Publication:899018
DOI10.1214/13-BA846zbMath1327.62156MaRDI QIDQ899018
Emmanuel Lesaffre, Veronika Rockova
Publication date: 21 December 2015
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ba/1393251777
Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Related Items
Bayesian generalized fused lasso modeling via NEG distribution ⋮ Bayesian linear regression for multivariate responses under group sparsity ⋮ Incorporating grouping information into Bayesian Gaussian graphical model selection ⋮ Bayesian Interaction Selection Model for Multimodal Neuroimaging Data Analysis ⋮ A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants ⋮ Unnamed Item ⋮ Theory of optimal Bayesian feature filtering
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The Adaptive Lasso and Its Oracle Properties
- A Bayesian graphical modeling approach to microRNA regulatory network inference
- Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes
- One-step sparse estimates in nonconcave penalized likelihood models
- Nonconcave penalized likelihood with a diverging number of parameters.
- Spike and slab variable selection: frequentist and Bayesian strategies
- Penalized regression, standard errors, and Bayesian Lassos
- Calibration and empirical Bayes variable selection
- BAYESIAN HYPER-LASSOS WITH NON-CONVEX PENALIZATION
- Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
- The horseshoe estimator for sparse signals
- Mixtures of g Priors for Bayesian Variable Selection
- The Bayesian Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Generalized double Pareto shrinkage
- Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics
- Regularization and Variable Selection Via the Elastic Net
- High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
- Model Selection and Estimation in Regression with Grouped Variables
- MODEL SELECTION AND INFERENCE: FACTS AND FICTION
- Proper multivariate conditional autoregressive models for spatial data analysis
- Exploration, normalization, and summaries of high density oligonucleotide array probe level data
