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Spatial Shrinkage Via the Product Independent Gaussian Process Prior

  • Published:2021-06-21 Issue:4 Volume:30 Page:1068-1080
  • ISSN:1061-8600
  • Container-title:Journal of Computational and Graphical Statistics
  • language:en
  • Short-container-title:Journal of Computational and Graphical Statistics

Author:

Roy Arkaprava1ORCID,Reich Brian J.2,Guinness Joseph3,Shinohara Russell T.4,Staicu Ana-Maria2

Affiliation:

1. Department of Biostatistics, University of Florida, Gainesville, FL

2. Department of Statistics, North Carolina State University, Raleigh, NC

3. Department of Statistics and Data Science, Cornell University, Ithaca, NY

4. Department of Biostatistics, University of Pennsylvania, Philadelphia, PA

Funder

Intramural Research Program, National Institutes of Health Clinical Center

the National Institutes of Health

National Science Foundation

National Multiple Sclerosis Society

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Reference53 articles.

1. Arnold, T. B., and Tibshirani, R. J. (2020), genlasso: Path Algorithm for Generalized Lasso Problems, R package version 1.5.

2. Dirichlet–Laplace Priors for Optimal Shrinkage

3. Spatial variable selection methods for investigating acute health effects of fine particulate matter components

4. The horseshoe estimator for sparse signals

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