Functional Quantile Regression is a statistical methodology within functional data analysis that extends traditional quantile regression by modeling the conditional quantile of a scalar response variable given a functional predictor, thereby capturing heterogeneous effects across the entire distribution of the response.
30
Publications
1.8K
Citations
72
Authors
55
Institutions
Publications per year
2017–2026
11
Publications
30
Inference on Counterfactual Distributions
Econometrica · 2013 · 586 citations · Full text
A general framework for functional regression modelling
Sonja Greven, Fabian Scheipl · Statistical Modelling · 2017 · 132 citations
Estimation in functional linear quantile regression
The Annals of Statistics · 2012 · 120 citations · Full text
1–5 of 30
Authors
72
- LK
3
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- HM
2
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- IM
2
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- DY
2
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- HZ
2
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1–5 of 72
Institutions
55
University of Alberta
Edmonton, Canada
3 h-index
9 publications
361 citations
Université Djilali de Sidi Bel Abbès
Sidi Bel Abbes, Algeria
3 h-index
3 publications
57 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
685 citations
Boston University
Boston, United States
2 h-index
2 publications
685 citations
University of California, Davis
Davis, United States
2 h-index
4 publications
306 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
3 publications
105 citations
Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
92 citations
University Frères Mentouri Constantine 1
Constantine, Algeria
2 h-index
3 publications
69 citations
1–8 of 55
Venues
- Journal of Multivariate Analysis
3 publications · 99 citations
3
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- Computational Statistics & Data Analysis
CSDA · 2 publications · 91 citations
2
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- Metrika
2 publications · 80 citations
2
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- Journal of the American Statistical Association
2 publications · 46 citations
2
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- Statistical Modelling
1 publications · 132 citations
1
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1–5