Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models
Author:
Funder
NSF
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s11749-023-00898-3.pdf
Reference8 articles.
1. Cai TT, Guo Z, Xia Y (2023) Statistical inference and large-scale multiple testing for high-dimensional regression models. TEST. https://doi.org/10.1007/s11749-023-00870-1
2. Engle RF, Granger CWJ, Rice J, Weiss A (1986) Semiparametric estimates of the relation between weather and electricity sales. J Am Stat Assoc 81(394):310–320
3. Law M, Ritov Y (2021) Inference without compatibility: using exponential weighting for inference on a parameter of a linear model. Bernoulli 27(3):1467–1495
4. Leung G, Barron AR (2006) Information theory and mixing least-squares regressions. IEEE Trans Inf Theory 52(8):3396–3410
5. Rigollet P, Tsybakov A (2011) Exponential screening and optimal rates of sparse estimation. Stat Sci 39:731–771
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