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This paper provides a selective guide to the literature on time series forecasting, covering the period 1982–2005 and summarizing over 940 papers.
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The Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis.
Scope. During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics.
The scientific journal Journal of Time Series Analysis is included in the Scopus database. Based on 2020, SJR is 1.173. Publisher country is United States ...
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Feb 15, 2021 · In this article, we survey common encoder and decoder designs used in both one-step-ahead and multi-horizon time-series forecasting.
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This comprehensive review examines time-series forecasting models and their applications across diverse industries.
We describe two automatic forecasting algorithms that have been implemented in the forecast package for R. The first is based on innovations state space models.
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The Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis and its ...
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Jan 9, 2024 · Time-series forecasting is a practical goal in many areas of science and engineering. Common approaches for forecasting future events often ...
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