Bayesian Spectral Analysis
Bayesian Spectral Analysis is a statistical method that belongs to the class of spectral analysis techniques, distinguished by its incorporation of Bayesian inference to estimate and quantify uncertainty in the frequency components of a time series through prior distributions and posterior updating.
98
Publications
5.5K
Citations
369
Authors
201
Institutions
Publications per year
2017–2026
31
98
On the rationale of maximum-entropy methods
E. T. Jaynes · Proceedings of the IEEE · 1982 · 1.7K citations
DETECTION OF AN ATMOSPHERE AROUND THE SUPER-EARTH 55 CANCRI E
The Astrophysical Journal · 2016 · 214 citations · Full text
Natural Sciences, Astronomy, Physics +16
Detection of an atmosphere around the super-Earth 55 Cancri e
Angelos Tsiaras, M. Rocchetto, Olivia Vénot et al. · UCL Discovery (University College London) · 2016 · 198 citations
Natural Sciences, Astronomy, Physics +16
BGLS: A Bayesian formalism for the generalised Lomb-Scargle periodogram
Annelies Mortier, J. P. Faria, Carlos Correia et al. · Astronomy and Astrophysics · 2014 · 143 citations · Full text
Natural Sciences, Astronomy, Physics +14
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201

Centre National de la Recherche Scientifique
Paris, France
5 h-index
11 publications
547 citations
University College London
London, United Kingdom
4 h-index
26 publications
4.3K citations
University of Michigan
Ann Arbor, United States
4 h-index
9 publications
204 citations
University of Kent
Canterbury, United Kingdom
4 h-index
5 publications
226 citations
Korea University
Seoul, South Korea
3 h-index
8 publications
488 citations

University of Ottawa
Ottawa, Canada
3 h-index
7 publications
179 citations
Osservatorio Astronomico di Palermo
Palermo, Italy
3 h-index
4 publications
476 citations
National Institute for Materials Science
Tsukuba, Japan
3 h-index
4 publications
108 citations
1–8 of 201
MSSP · 4 publications · 169 citations
4
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PRD · 4 publications · 220 citations
4
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3 publications · 93 citations
3
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3 publications · 92 citations
3
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3 publications · 71 citations
3
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1–5