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

Authors

369

  1. PJ
    Philip J. Brown

    University of Kent, United Kingdom

    4 publications · 164 citations

    4

    h-index

  2. RH
    Richard Hodgson

    Chapel Allerton Hospital, United Kingdom

    3 publications · 79 citations

    3

    h-index

  3. TF
    Tom Fearn

    University College London, United Kingdom

    3 publications · 104 citations

    3

    h-index

  4. SM
    Saïd Moussaoui

    Centre National de la Recherche Scientifique, France

    3 publications · 178 citations

    3

    h-index

  5. LD
    Lixin Dou

    University of Ottawa, Canada

    3 publications · 79 citations

    3

    h-index

1–5 of 369

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 4 publications · 169 citations

    4

    h-index

  2. Physical review. D/Physical review. D.

    PRD · 4 publications · 220 citations

    4

    h-index

  3. 3

    h-index

  4. Journal of Biomolecular NMR

    3 publications · 92 citations

    3

    h-index

  5. Analytical Chemistry

    3 publications · 71 citations

    3

    h-index

1–5