A novel outlier detection method based on Bayesian change point analysis and Hampel identifier for GNSS coordinate time series

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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Bibliographic Details
Main Author: Hüseyin Pehlivan
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
GNSS data
Outlier
Hampel identifier
Bayesian change point
Time series
Online Access:https://doi.org/10.1186/s13634-023-01097-w

Internet

https://doi.org/10.1186/s13634-023-01097-w

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