Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: interpretability for applied scientists
DOI10.1214/19-SS126zbMath1434.62185OpenAlexW2983459762WikidataQ91345687 ScholiaQ91345687MaRDI QIDQ2008605
Saul Shiffman, Donna L. Coffman, Justin Petrovich, John J. Dziak, Matthew Reimherr, Mariya P. Shiyko, Run-Ze Li
Publication date: 26 November 2019
Published in: Statistics Surveys (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ssu/1573009381
trajectoriesfunctional regressionintensive longitudinal datascalar-on-function regressiondistal outcomes
Directional data; spatial statistics (62H11) Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)
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