AtsPy : Automated Time Series Forecasting in Python

This short report deals with the recent rise of programmatic time series methods. This decade has witnessed the proliferation of commercial and open source time-series tooling, which calls for an exposition of what is publicly available. In tandem with this survey, AtsPy, an open source automated time series framework is developed as a working prototype to showcase the ability of state of the art univariate time series methods

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Year of publication:	2020
Authors:	Snow, Derek
Publisher:	[S.l.] : SSRN
Subject:	Prognoseverfahren \| Forecasting model \| Zeitreihenanalyse \| Time series analysis \| Automatisierung \| Automation

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Extent:	1 Online-Ressource (2 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 20, 2020 erstellt
Other identifiers:	10.2139/ssrn.3580631 [DOI]
Classification:	C01 - Econometrics ; C22 - Time-Series Models ; C32 - Time-Series Models ; C53 - Forecasting and Other Model Applications
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014099339