Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

Author:

Wiel Mark A.12ORCID,Te Beest Dennis E.1,Münch Magnus M.13

Affiliation:

1. Department of Epidemiology and Biostatistics, Amsterdam Public Health Research InstituteVU University Medical Center Amsterdam The Netherlands

2. Department of MathematicsVU University Amsterdam The Netherlands

3. Mathematical Institute, Faculty of ScienceLeiden University Leiden The Netherlands

Funder

H2020 European Research Council

Seventh Framework Programme

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference62 articles.

1. Empirical and fully Bayesian approaches for random effects models in microarray data analysis

2. Laplace Approximation in High-Dimensional Bayesian Regression

3. Empirical Bayes prediction intervals in a normal regression model: higher order asymptotics

4. Bayesian statistics 7 2003 Oxford University Press Oxford UK M. J. Beal Z. Ghahramani The variational Bayesian EM algorithm for incomplete data: With application to scoring graphical model structures 453 464

5. Belitser E. &Nurushev N.(2015).Needles and straw in a haystack: Robust confidence for possibly sparse sequences. Unpublished manuscript. arXiv:1511.01803. Retrieved from:https://arxiv.org/abs/1511.01803

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