Periodic Component Estimation
Periodic Component Estimation is a methodological framework in time series analysis that isolates and quantifies the recurring cyclical patterns within seasonal data by distinguishing them from trend, irregular, and noise components through statistical or signal processing techniques.
168
Publications
7.3K
Citations
392
Authors
232
Institutions
Publications per year
2017–2026
35
Parents
168
MetaCycle: an integrated R package to evaluate periodicity in large scale data
Gang Wu, Ron C. Anafi, Michael E. Hughes et al. · Bioinformatics · 2016 · 599 citations · Full text
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St Petersburg University
Saint Petersburg, Russia
4 h-index
6 publications
167 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
87 citations
KU Leuven
Leuven, Belgium
3 h-index
4 publications
640 citations
Russian Academy of Sciences
Moscow, Russia
3 h-index
4 publications
124 citations
AGH University of Krakow
Krakow, Poland
3 h-index
4 publications
136 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
6 publications
172 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
5 publications
824 citations
California Institute of Technology
Pasadena, United States
3 h-index
9 publications
448 citations
1–8 of 232
5 publications · 271 citations
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4 publications · 394 citations
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4 publications · 204 citations
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3 publications · 94 citations
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3 publications · 87 citations
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