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Journal of Time Series Analysis - Wiley Online Library
https://onlinelibrary.wiley.com/journal/14679892
WEBThe Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis. We welcome papers on both …
DA: 16 PA: 40 MOZ Rank: 77
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Interval time series forecasting: A systematic literature review
https://onlinelibrary.wiley.com/doi/10.1002/for.3024?af=R
WEBSep 20, 2023 · Journal of Forecasting. RESEARCH ARTICLE. Interval time series forecasting: A systematic literature review. Piao Wang, Shahid Hussain Gurmani, Zhifu …
DA: 10 PA: 7 MOZ Rank: 92
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Deep Learning for Time Series Forecasting: Advances and Open …
https://www.mdpi.com/2078-2489/14/11/598
WEBNov 4, 2023 · Time series forecasting, estimating future values of time series, allows the implementation of decision-making strategies. Deep learning, the currently leading field …
DA: 93 PA: 99 MOZ Rank: 13
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Time Series Forecasting: Core Concepts and Definitions
https://link.springer.com/chapter/10.1007/978-3-031-27852-5_5
WEBMay 1, 2023 · This chapter will present the main definitions and concepts for time series forecasting. It begins by introducing time series before leading into the general form …
DA: 34 PA: 24 MOZ Rank: 56
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25 years of time series forecasting - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S0169207006000021
WEBJan 1, 2006 · This paper provides a selective guide to the literature on time series forecasting, covering the period 1982–2005 and summarizing over 940 papers … Author: Jan G De Gooijer, Rob John Hyndman Publish Year: 2006
Author: Jan G De Gooijer, Rob John Hyndman
Publish Year: 2006
DA: 91 PA: 39 MOZ Rank: 71
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Forecasting intermittent and sparse time series: A …
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0259764
WEBNov 29, 2021 · Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes. Ali Caner Türkmen , Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil. Published: …
DA: 75 PA: 87 MOZ Rank: 17
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Machine learning advances for time series forecasting
https://onlinelibrary.wiley.com/doi/abs/10.1111/joes.12429
WEBIn this paper, we survey the most recent advances in supervised machine learning (ML) and high-dimensional models for time-series forecasting. We consider both linear and …
DA: 39 PA: 58 MOZ Rank: 95
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Improving time series forecasting using LSTM and attention …
https://link.springer.com/article/10.1007/s12652-020-02761-x
WEBJournal of Ambient Intelligence and Humanized Computing. Article. Improving time series forecasting using LSTM and attention models. Original Research. Published: 03 …
DA: 72 PA: 68 MOZ Rank: 72