High-dimensional properties for empirical priors in linear regression with unknown error variance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00362-022-01390-0.pdf
Reference20 articles.
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3. Cao X, Khare K, Ghosh M (2020) High-dimensional posterior consistency for hierarchical non-local priors in regression. Bayesian Anal 15(1):241–262
4. Castillo I, Schmidt-Hieber J, van der vaart A (2015) Bayesian linear regression with sparse priors. Ann Stat 43(5):1986–2018
5. de Geer SAV, Buhlmann P (2009) On the conditions used to prove oracle results for the lasso. Electron J Stat 3:1360–1392
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