Data assimilation with missing data in nonstationary environments for probabilistic machine learning models

In this study, we further develop the data assimilation framework proposed for probabilistic Machine Learning (ML) models, named Probabilistic Optimal Interpolation (POI), in nonstationary environments with missing data which are common in real-world situations. The dataset is based on a multi-scale...

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Bibliographic Details
Main Authors: Wei, Yuying, Law, Adrian Wing-Keung, Yang, Chun
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173067
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Institution: Nanyang Technological University
Language: English

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