The Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis.
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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.
Time series forecasting is one of the most widely used applications of data science. This chapter provides a comprehensive overview of time series analysis and ...
The Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis and its ...
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.
Jul 3, 2024 · In this paper, our objectives are to introduce and review methodologies for modeling time series data, outline the commonly used time series forecasting ...
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.
This review paper explores the evolution of time series forecasting techniques, analyzing the progression from classical methods to modern approaches.
This comprehensive review examines time-series forecasting models and their applications across diverse industries.