Functional Hypothesis Testing
Functional Hypothesis Testing is a statistical inference framework within functional data analysis that involves testing hypotheses about the distribution, structure, or parameters of random elements in a function space, distinguished by its focus on infinite-dimensional stochastic processes and their associated functional characteristics.
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6.1K
Citations
361
Authors
206
Institutions
Publications per year
2017–2026
35
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Testing Hypotheses in the Functional Linear Model
Hervé Cardot, Frédéric Ferraty, André Mas et al. · Scandinavian Journal of Statistics · 2003 · 178 citations
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National University of Singapore
Singapore, Singapore
4 h-index
6 publications
267 citations
University of Washington
Seattle, United States
3 h-index
9 publications
490 citations

Adam Mickiewicz University in Poznań
Poznan, Poland
3 h-index
5 publications
391 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
3 h-index
5 publications
445 citations
University College London
London, United Kingdom
2 h-index
5 publications
168 citations

Newcastle University
Newcastle upon Tyne, United Kingdom
2 h-index
6 publications
342 citations

Howard Hughes Medical Institute
Chevy Chase, United States
2 h-index
2 publications
114 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
1.2K citations
1–8 of 206
5 publications · 246 citations
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2 publications · 128 citations
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Repository · 3 publications · 60 citations
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2 publications · 101 citations
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2 publications · 118 citations
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