Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models-Reference-Cited by-同舟云学术

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Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models

Published:2020-06-08 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Bai Ray¹,Moran Gemma E.²,Antonelli Joseph L.³,Chen Yong⁴,Boland Mary R.⁴

Affiliation:

1. Department of Statistics, University of South Carolina, Columbia, SC;

2. Data Science Institute, Columbia University, New York, NY;

3. Department of Statistics, University of Florida, Gainesville, FL;

4. Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1765784

Reference50 articles.

1. Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors

2. High-Dimensional Confounding Adjustment Using Continuous Spike and Slab Priors

3. Dirichlet–Laplace Priors for Optimal Shrinkage

4. Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

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