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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Bibliografske podrobnosti

Glavni avtor:	Ho, Tsung-wu (Author)
Korporativna značnica:	SpringerLink (Online service)
Format:	Elektronski eKnjiga
Jezik:	angleščina
Izdano:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Izdaja:	1st ed. 2025.
Teme:	Statistics . Time-series analysis. Statistics > Computer programs. Statistics in Business, Management, Economics, Finance, Insurance. Time Series Analysis. Statistical Software.
Online dostop:	https://doi.org/10.1007/978-3-031-97946-0
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