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conditional expectation

Article published by Foundations of Data Science

1 min read · Thu, Sep 8 2022

News

Nonlinear Filtering Inverse problem conditional expectation weather forecast Deep learning

In August 2022, the paper Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation, by Truong-Vinh Hoang (RWTH Aachen University), Sebastian Krumscheid (Karlsruhe Institute of Technology), Hermann G. Matthies (Technische Universität Braunschweig) and Raul Tempone (KAUST/RWTH Aachen University) was published by Foundations of Data Science. Abstract: This paper presents the machine learning-based ensemble conditional mean filter (ML-EnCMF) — a filtering method based on the conditional mean filter (CMF) previously introduced in

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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