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BSU Seminar Series: “Squeezing the most out of ridge”
March 3 @ 2:00 pm - 3:00 pm
Title: “Squeezing the most out of ridge”
Speaker: Professor Mark van de Wiel, Amsterdam University Medical Center
Abstract: Ridge regression is nowadays regarded as a somewhat old-fashioned technique: most statisticians prefer sparse models, while machine learners use non-linear, multi-layer prediction algorithms. The aim of this talk is to endorse ridge by illustrating its strengths, from a methodological, computational and applied perspective, including:
- Flexibility (in terms of output and type of covariates)
- Bayesian counterpart facilitates empirical Bayes estimation of penalty parameter(s)
- Differential penalization for multi-modal (e.g. multi-omics) data
- Penalty weights moderated by (external) information on the features:
- Effective posterior feature selection
- Computational efficiency
- Performance in clinical (omics) prediction problems
These strengths will be illustrated on a cancer multi-omics prediction problem.