Detecting and dating structural breaks in functional data without dimension reduction
نویسندگان
چکیده
منابع مشابه
Interpretable dimension reduction for classifying functional data
Classification problems involving a categorical class label Y and a functional predictor X(t) are becoming increasingly common. Since X(t) is infinite dimensional, some form of dimension reduction is essential in these problems. Conventional dimension reduction techniques for functional data usually suffer from one or both of the following problems. First, they do not take the categorical respo...
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ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
سال: 2017
ISSN: 1369-7412
DOI: 10.1111/rssb.12257