Stringing High-Dimensional Data for Functional Analysis
نویسندگان
چکیده
منابع مشابه
Stringing High Dimensional Data for Functional Analysis
We propose Stringing, a class of methods where one views high dimensional observations as functional data. Stringing takes advantage of the high dimension by representing such data as discretized and noisy observations that originate from a hidden smooth stochastic process. Assuming that the observations result from scrambling the original ordering of the observations of the process, Stringing ...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2011
ISSN: 0162-1459,1537-274X
DOI: 10.1198/jasa.2011.tm10314