Imperial College London
Alternate

Professor Alastair Young

Faculty of Natural Sciences, Department of Mathematics

Chair in Statistics
 
 
 
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Contact

 

+44 (0)20 7594 8560alastair.young Website

 
 
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Location

 

529Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Rasines:2022:10.1007/s41745-022-00286-0,
author = {Rasines, DG and Young, GA},
doi = {10.1007/s41745-022-00286-0},
journal = {Journal of the Indian Institute of Science},
pages = {1205--1217},
title = {Empirical bayes and selective inference},
url = {http://dx.doi.org/10.1007/s41745-022-00286-0},
volume = {102},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We review the empirical Bayes approach to large-scale inference. In the context of the problem of inference for a high-dimensional normal mean, empirical Bayes methods are advocated as they exhibit risk-reducing shrinkage, while establishing appropriate control of frequentist properties of the inference. We elucidate these frequentist properties and evaluate the protection that empirical Bayes provides against selection bias.
AU  - Rasines,DG
AU  - Young,GA
DO  - 10.1007/s41745-022-00286-0
EP  - 1217
PY  - 2022///
SN  - 0970-4140
SP  - 1205
TI  - Empirical bayes and selective inference
T2  - Journal of the Indian Institute of Science
UR  - http://dx.doi.org/10.1007/s41745-022-00286-0
UR  - https://link.springer.com/article/10.1007/s41745-022-00286-0
UR  - http://hdl.handle.net/10044/1/95891
VL  - 102
ER  -
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