Functional Spatio-temporal Data Analysis
Functional Spatio-Temporal Data Analysis is a statistical methodology that extends functional data analysis to spatially indexed time series by modeling data as functions varying smoothly over both space and time, thereby enabling the extraction of latent spatio-temporal patterns through functional basis representations.
112
Publications
5.2K
Citations
404
Authors
243
Institutions
Publications per year
2017–2026
44
Parents
112
Ying Sun, Marc G. Genton · Journal of Computational and Graphical Statistics · 2011 · 417 citations
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
Fully Bayesian Spatio-Temporal Modeling of FMRI Data
Mark W. Woolrich, Mark Jenkinson, J. Michael Brady et al. · IEEE Transactions on Medical Imaging · 2004 · 252 citations
Medicine, Neuroscience, Radiology +16
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243

Centre National de la Recherche Scientifique
Paris, France
5 h-index
12 publications
421 citations

Pennsylvania State University
State College, United States
3 h-index
6 publications
230 citations
Northwestern University
Evanston, United States
3 h-index
6 publications
146 citations

Universidad de Oviedo
Oviedo, Spain
3 h-index
6 publications
132 citations
Colorado State University
Fort Collins, United States
3 h-index
3 publications
91 citations
Texas A&M University
College Station, United States
3 h-index
4 publications
941 citations
Centro Universitario de la Defensa en San Javier
San Javier, Spain
3 h-index
7 publications
255 citations
Politecnico di Milano
Milan, Italy
3 h-index
7 publications
296 citations
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6 publications · 866 citations
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4 publications · 133 citations
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4 publications · 136 citations
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Repository · 3 publications · 76 citations
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JCGS · 3 publications · 480 citations
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