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Dynamic Prediction of High-density Generalized Functional Data with Fast Generalized Functional Principal Component Analysis
Dynamic prediction, which typically refers to the prediction of future outcomes using historical records, is often of interest in biomedical research. For datasets with large sample sizes, high measurement density, and complex correlation structures, traditional methods are often infeasible because of the computational burden associated with both data scale and …