From robust tests to Bayes-like posterior distributions
Author:
Funder
European Union’s Horizon 2020 research and innovation programme
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability,Analysis
Link
https://link.springer.com/content/pdf/10.1007/s00440-023-01222-8.pdf
Reference25 articles.
1. Alquier, P.: PAC-Bayesian bounds for randomized empirical risk minimizers. Math. Methods Stat. 17(4), 279–304 (2008)
2. Atchadé, Y.A.: On the contraction properties of some high-dimensional quasi-posterior distributions. Ann. Stat. 45(5), 2248–2273 (2017)
3. Audibert, J.-Y., Catoni, O.: Linear regression through PAC-Bayesian truncation. arXiv:1010.0072 (2011)
4. Baraud, Y.: Tests and estimation strategies associated to some loss functions. Probab. Theory Relat. Fields 180(3), 799–846 (2021)
5. Baraud, Y., Birgé, L.: Rho-estimators revisited: general theory and applications. Ann. Stat. 46(6B), 3767–3804 (2018)
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