Partial least squares methods for functional regression models

An important class of prediction problems in modern biomedical studies is to use medical images as well as genetic and clinical biomarkers at an earlier time point to predict important clinical outcomes, including continuous, discrete, survival and longitudinal outcomes, at a later time point. Functional regression is one of the statistical models to handle this problem by treating medical images as smooth functions. An appealing way is the functional partial least squares method (FPLS). Delaigle...
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