Selecting massive variables using an iterated conditional modes/medians algorithm
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Publication:491389
DOI10.1214/15-EJS1034zbMath1327.62409OpenAlexW1524469599MaRDI QIDQ491389
Vitara Pungpapong, Dabao Zhang, Min Zhang
Publication date: 25 August 2015
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1433982945
Linear regression; mixed models (62J05) Statistical ranking and selection procedures (62F07) Empirical decision procedures; empirical Bayes procedures (62C12)
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- Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
- The Adaptive Lasso and Its Oracle Properties
- Variable selection and regression analysis for graph-structured covariates with an application to genomics
- Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes
- High-dimensional variable selection
- Multiple hypothesis testing in microarray experiments.
- Optimal predictive model selection.
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
- Spike and slab variable selection: frequentist and Bayesian strategies
- Coordinate descent algorithms for lasso penalized regression
- Evolutionary stochastic search for Bayesian model exploration
- p-Values for High-Dimensional Regression
- Scaled sparse linear regression
- Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
- Bayesian Variable Selection in Linear Regression
- Ideal spatial adaptation by wavelet shrinkage
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- EMVS: The EM Approach to Bayesian Variable Selection
- Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics
- Shotgun Stochastic Search for “Largep” Regression
- Model Selection and Estimation in Regression with Grouped Variables
- Detecting differential gene expression with a semiparametric hierarchical mixture method
- Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition
- An invariant form for the prior probability in estimation problems
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