Multivariate Exponential Smoothing
Multivariate Exponential Smoothing is a time series forecasting method that extends univariate exponential smoothing by jointly modeling and updating multiple interrelated time series through a shared smoothing framework that accounts for cross-series dependencies.
19
Publications
997
Citations
46
Authors
36
Institutions
Publications per year
2017–2026
4
Parents
19
1–5 of 19
46
3
h-index
2
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1
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1
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1
h-index
1–5 of 46
36

NEOMA Business School
Mont-Saint-Aignan, France
3 h-index
3 publications
279 citations

Bank of Italy
Rome, Italy
2 h-index
2 publications
257 citations

Johns Hopkins University
Baltimore, United States
1 h-index
1 publications
64 citations
Southwest Petroleum University
Chengdu, China
1 h-index
1 publications
26 citations

University of Applied Sciences Europe
Iserlohn, Germany
1 h-index
2 publications
34 citations

University of the Witwatersrand
Johannesburg, South Africa
1 h-index
1 publications
44 citations
Gaziantep İslam Bilim ve Teknoloji Üniversitesi
Gaziantep, Türkiye
1 h-index
1 publications
25 citations

European University Viadrina
Frankfurt, Germany
1 h-index
2 publications
34 citations
1–8 of 36
3 publications · 276 citations
3
h-index
1 publications · 47 citations
1
h-index
1 publications · 26 citations
1
h-index
JTR · 1 publications · 59 citations
1
h-index
1 publications · 44 citations
1
h-index
1–5