Functional Bayesian Inference
Functional Bayesian Inference is a statistical framework within functional time series analysis that extends Bayesian inference to infinite-dimensional functional data by specifying prior distributions over function spaces and updating them to posterior distributions conditioned on observed functional observations.
62
Publications
2.4K
Citations
160
Authors
115
Institutions
Publications per year
2017–2026
18
62
Bayesian fMRI time series analysis with spatial priors
W.D. Penny, Nelson J. Trujillo‐Barreto, Karl Friston · NeuroImage · 2004 · 268 citations
Computing, Neuroscience, Radiology +14
Bayesian fMRI data analysis with sparse spatial basis function priors
Guillaume Flandin, W.D. Penny · NeuroImage · 2006 · 108 citations
Medicine, Neuroscience, Radiology +14
1–5 of 62
160
The University of Texas MD Anderson Cancer Center, United States
3 publications · 170 citations
3
h-index
3
h-index
The University of Texas MD Anderson Cancer Center, United States
3 publications · 157 citations
3
h-index
3
h-index
3
h-index
1–5 of 160
115
The University of Texas MD Anderson Cancer Center
Houston, United States
5 h-index
18 publications
916 citations

Rice University
Houston, United States
4 h-index
9 publications
335 citations
University College London
London, United Kingdom
4 h-index
7 publications
948 citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
3 h-index
4 publications
278 citations
Duke University
Durham, United States
3 h-index
4 publications
183 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
150 citations
University of Florida
Gainesville, United States
2 h-index
2 publications
72 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
112 citations
1–8 of 115
10 publications · 683 citations
10
h-index
5 publications · 173 citations
5
h-index
4 publications · 230 citations
4
h-index
AOAS · 3 publications · 159 citations
3
h-index
JCGS · 3 publications · 100 citations
3
h-index
1–5