A basic time series forecasting course with Python

DOI10.1007/s43069-022-00179-zzbMath1505.90005arXiv2205.10941OpenAlexW4312160319WikidataQ123028989 ScholiaQ123028989MaRDI QIDQ2677353

Alain B. Zemkoho

Publication date: 13 January 2023

Published in: SN Operations Research Forum (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2205.10941

zbMATH Keywords

forecastingexponential smoothingregressionARIMAPython

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to operations research and mathematical programming (90-04) Technological tools, calculators (aspects of mathematics education) (97U70) Computer-assisted instruction, e-learning (aspects of mathematics education) (97U50)

Related Items (2)

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Uses Software

• Python

Cites Work

• Unnamed Item
• A survey of randomized algorithms for training neural networks
• Distribution of the Estimators for Autoregressive Time Series With a Unit Root

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