Analysis of linear and bilinear spatial temporal models in the case of missing observations
Author:
Affiliation:
1. Department of Mathematics and Computer Science, Faculty of Science, Alexandria University, Alexandria, Egypt
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2023.2290460
Reference28 articles.
1. Bilinear spatiotemporal basis models
2. Asadi R. and A. Regan. 2019. A convolution recurrent autoencoder for spatio-temporal missing data imputation. arXiv Preprint arXiv:1904.12413.
3. Box, G. E., G. M. Jenkins, G. C. Reinsel, and G. M. Ljung. 2015. Time series analysis: Forecasting and control. New York: John Wiley & Sons.
4. Time Series
5. A Two-Step Method for Missing Spatio-Temporal Data Reconstruction
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