Multiple Change-Point Detection: A Selective Overview
Very long and noisy sequence data arise from biological sciences to social science including high throughput data in genomics and stock prices in econometrics. Often such data are collected in order to identify and understand shifts in trends, for example, from a bull market to a bear market in fina...
Main Authors: | Niu, Yue S., Hao, Ning, Zhang, Heping |
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Other Authors: | Univ Arizona, Dept Math |
Language: | en |
Published: |
INST MATHEMATICAL STATISTICS
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/10150/622820 http://arizona.openrepository.com/arizona/handle/10150/622820 |
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