Effective dimension reduction for sparse functional data
نویسندگان
چکیده
منابع مشابه
Effective dimension reduction for sparse functional data.
We propose a method of effective dimension reduction for functional data, emphasizing the sparse design where one observes only a few noisy and irregular measurements for some or all of the subjects. The proposed method borrows strength across the entire sample and provides a way to characterize the effective dimension reduction space, via functional cumulative slicing. Our theoretical study re...
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In this elegant paper, F. Yao, Y. Wu, and J. Zou offer a unified treatment of the problem of classifying sparse functional data via sliced inverse regression (e.g., Li, 1991). Such signals are typically encountered in longitudinal studies and various other scientific experiments. In this setting, only a few measurements are available for some, or even all, individuals, and a cumulative slicing ...
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ژورنال
عنوان ژورنال: Biometrika
سال: 2015
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asv006