Functional Spectral Analysis
Functional Spectral Analysis is a mathematical framework within functional time series analysis that characterizes the frequency-domain structure of stochastic processes in Hilbert spaces by decomposing their autocovariance operators into spectral components.
105
Publications
6.2K
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269
Authors
169
Institutions
Publications per year
2017–2026
18
105
A Spectral Representation for Max-stable Processes
Laurens de Haan · The Annals of Probability · 1984 · 536 citations · Full text
COVARIANT AND CONTRAVARIANT SYMBOLS OF OPERATORS
F. A. Berezin · Mathematics of the USSR-Izvestiya · 1972 · 493 citations
J. Rozema, Lars Olof Björn, Janet F. Bornman et al. · Journal of Photochemistry and Photobiology B Biology · 2002 · 428 citations
Marc R. Knecht, David W. Wright · Chemical Communications · 2003 · 189 citations
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Australian National University
Canberra, Australia
3 h-index
6 publications
183 citations
Yale University
New Haven, United States
3 h-index
8 publications
532 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
3 publications
178 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
60 citations

University of Rijeka
Rijeka, Croatia
2 h-index
3 publications
43 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
2 publications
28 citations
National Cheng Kung University
Tainan City, Taiwan
2 h-index
2 publications
108 citations
Johannes Gutenberg University Mainz
Mainz, Germany
2 h-index
6 publications
146 citations
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6 publications · 379 citations
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2 publications · 73 citations
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2 publications · 511 citations
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Repository · 2 publications · 28 citations
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2 publications · 28 citations
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