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High Dimension Prediction
thesisposted on 01.12.2020, 00:00 by Rachel Katherine Nordgren
Prediction methods may be high dimension in either outcome or covariate matrix. Here we examine shrinkage methods for multivariate prediction, multivariate calibration, and penalized regression for a single outcome with a large number of covariates--we motivate this section with microbiome data.