Detection of Abnormal Signals Without Trend Ingredient and Bayesian Statistical Inference.
نویسندگان
چکیده
منابع مشابه
Detection of trend changes in time series using bayesian inference.
Change points in time series are perceived as isolated singularities where two regular trends of a given signal do not match. The detection of such transitions is of fundamental interest for the understanding of the system's internal dynamics or external forcings. In practice observational noise makes it difficult to detect such change points in time series. In this work we elaborate on a bayes...
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ژورنال
عنوان ژورنال: KAGAKU KOGAKU RONBUNSHU
سال: 1998
ISSN: 0386-216X,1349-9203
DOI: 10.1252/kakoronbunshu.24.803