Data Driven Model Learning for Engineers With Applications to Univariate Time Series /

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate their applicability directly with stationary time series. A multi-step approach is introduced for...

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Bibliographic Details

Main Author:	Mercère, Guillaume (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Subjects:	Time-series analysis. Machine learning. Statistics . Time Series Analysis. Statistical Learning. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Online Access:	https://doi.org/10.1007/978-3-031-31636-4
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