A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
Author:
Affiliation:
1. MOX, Department of Mathematics, Politecnico di Milano
2. Clinical Bioinformatics Unit, IRCCS Istituto Giannina Gaslini
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference95 articles.
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3. FAN, J., SAMWORTH, R. and WU, Y. (2009). Ultrahigh dimensional feature selection: Beyond the linear model. J. Mach. Learn. Res. 10 2013–2038.
4. Dawid, A. P. (1981). Some matrix-variate distribution theory: Notational considerations and a Bayesian application. Biometrika 68 265–274.
5. McCulloch, C. E. and Neuhaus, J. M. (2011). Misspecifying the shape of a random effects distribution: Why getting it wrong may not matter. Statist. Sci. 26 388–402.
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