Modern Strategies for Time Series Regression-Reference-Cited by-同舟云学术

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Modern Strategies for Time Series Regression

Published:2020-12 Issue:S1 Volume:88 Page:
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Clark Stephanie¹^ORCID,Hyndman Rob J.²^ORCID,Pagendam Dan³^ORCID,Ryan Louise M.¹^ORCID

Affiliation:

1. School of Mathematical and Physical Sciences University of Technology Sydney Sydney New South Wales Australia

2. Department of Econometrics and Business Statistics Monash University Melbourne Victoria Australia

3. Data61 Commonwealth Scientific and Industrial Research Organization Canberra New South Wales Australia

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/insr.12432

Reference42 articles.

1. Allaire J. J.&Chollet F.2019.keras: R interface to 'keras'. R package version 2.2.5.0.

2. Solving Groundwater Flow Problems with Time Series Analysis: You May Not Even Need Another Model

3. Water security for a planet under pressure: interconnected challenges of a changing world call for sustainable solutions

4. Machine Learning Strategies for Time Series Forecasting

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