Descriptive Forecasting
Descriptive Forecasting is a time series analysis approach that belongs to the class of forecasting methods and is distinguished by its primary aim of summarizing and characterizing historical patterns and structures in the data without necessarily modeling their underlying causal mechanisms.
49
Publications
3.8K
Citations
166
Authors
69
Institutions
Publications per year
2017–2026
8
Parents
49
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos et al. · BOA (University of Milano-Bicocca) · 2022 · 830 citations · Full text
Criteria for classifying forecasting methods
Tim Januschowski, Jan Gasthaus, Yuyang Wang et al. · International Journal of Forecasting · 2019 · 202 citations
Computing, Meteorology, Forecasting +11
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69
Lancaster University
Lancaster, United Kingdom
3 h-index
3 publications
896 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
439 citations
ZHAW Zurich University of Applied Sciences
Winterthur, Switzerland
2 h-index
2 publications
857 citations
Barcelona School of Economics
Barcelona, Spain
2 h-index
3 publications
427 citations

University of Bath
Bath, United Kingdom
2 h-index
2 publications
857 citations
University of Southampton
Southampton, United Kingdom
2 h-index
5 publications
2.5K citations

Kedge Business School
Talence, France
2 h-index
2 publications
857 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
2 publications
857 citations
1–8 of 69
8 publications · 431 citations
8
h-index
Repository · 5 publications · 319 citations
5
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Repository · 1 publications · 830 citations
1
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1 publications · 20 citations
1
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FM · 1 publications · 10 citations
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1–5