A novel outlier detection method based on Bayesian change point analysis and Hampel identifier for GNSS coordinate time series
Abstract The identification and removal of outliers in time series are important problems in numerous fields. In this paper, a novel method (BCP-HI) is proposed to enhance the accuracy of outlier detection in GNSS coordinate time series by combining Bayesian change point (BCP) analysis and the Hampe...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-04-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
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| Online Access: | https://doi.org/10.1186/s13634-023-01097-w |