Bayesian Spectral Deconvolution
Bayesian Spectral Deconvolution is a spectral deconvolution method that employs Bayesian inference to estimate the underlying spectral components by incorporating prior knowledge and probabilistic modeling of noise and parameter uncertainty.
11
Publications
638
Citations
35
Authors
22
Institutions
Publications per year
2017–2026
3
Parents
11
1–5 of 11
35
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 35
22
The University of Tokyo
Tokyo, Japan
3 h-index
9 publications
573 citations
Institut de Recherche en Astrophysique et Planétologie
Toulouse, France
2 h-index
2 publications
21 citations

Universidad de La Laguna
San Cristóbal de La Laguna, Spain
2 h-index
2 publications
21 citations
National Institute for Materials Science
Tsukuba, Japan
2 h-index
3 publications
99 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
2 h-index
2 publications
21 citations
Japan Science and Technology Agency
Tokyo, Japan
2 h-index
2 publications
75 citations
RIKEN Center for Brain Science
Wako, Japan
2 h-index
2 publications
176 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
21 citations
1–8 of 22
2 publications · 75 citations
2
h-index
PRD · 1 publications · 33 citations
1
h-index
1 publications · 125 citations
1
h-index
JASMS · 1 publications · 128 citations
1
h-index
PRB · 1 publications · 24 citations
1
h-index
1–5