Time Series Forecasting using Machine Learning Case Studies with R and iForecast /
This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample. Machine learning methods cover enet, random forecast, gbm, and autoML etc., including binary economic time series. T...
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| Korporativní autor: | |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Vydání: | 1st ed. 2025. |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-97946-0 |
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Obsah:
- Preface
- Chapter 1 Time Series Basics in R
- Chapter 2 Predictive Time Series Modelling
- Chapter 3 Forecasting using Machine Learning Methods
- Chapter 4 Special Topics
- Chapter 5 Predictive Case Studies— Training by Rolling
- References.