Forward Additive Regression for Ultrahigh Dimensional Nonparametric Additive Models
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DOI: 10.5705/ss.202017.0083
Abstract: Ultrahigh dimensional data are collected in many scientific fields where the predictor dimension is often much higher than the sample size. To reduce the ultrahigh dimensionality effectively, many marginal screening approaches are developed. However, existing… read more here.
Keywords: forward additive; regression; ultrahigh dimensional; additive models ... See more keywords