Extracting common mode errors of regional gnss position time series in the presence of missing data by variational bayesian principal component analysis

HIGHLIGHTS

• who: Wudong Li and collaborators from the School of Geodesy and Geomatics, Wuhan University, Luoyu Road, Wuhan, China have published the research: Extracting Common Mode Errors of Regional GNSS Position Time Series in the Presence of Missing Data by Variational Bayesian Principal Component Analysis, in the Journal: (JOURNAL)
• what: In this paper, we introduce an alternative VBPCA approach to extract CME from regional GNSS position time series with missing values.
• how: This property makes it convenient for GNSS missing value imputation. thethe performance of missing valuevalue estimation the authors selected twelve value imputation . . .
  

   

  

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