The Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis.

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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Jan 9, 2024 · Time-series forecasting is a practical goal in many areas of science and engineering. Common approaches for forecasting future events often ...

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.

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.

This paper provides a selective guide to the literature on time series forecasting, covering the period 1982–2005 and summarizing over 940 papers.

The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and ...

This special issue aims to bring together the latest advances, innovations, and research in the field of time series forecasting.

Nov 3, 2023 · This research paper conducts an in-depth analysis of diverse time series analysis and forecasting techniques, examining their efficacy, applicability, and ...