Dynamic Hierarchical Models is a class of statistical models that extend hierarchical models by incorporating time-varying parameters or structures, enabling the representation of evolving relationships and dependencies within nested data configurations.
130
Publications
6.7K
Citations
400
Authors
197
Institutions
Publications per year
2017–2026
41
Parents
Publications
130
Hierarchical Models in the Brain
Karl Friston · PLoS Computational Biology · 2008 · 988 citations · Full text
Biological Data Analysis: A Practical Approach.
John C. Fry · Biometrics · 1994 · 283 citations
Andrew Heathcote, Yi-Shin Lin, Angus Reynolds et al. · Behavior Research Methods · 2018 · 176 citations · Full text
1–5 of 130
Authors
400
- VS
3
h-index
- SP
3
h-index
- EM
3
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- SN
3
h-index
- MBMargaret Burchinal
University of North Carolina at Chapel Hill, United States
2 publications · 69 citations
2
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1–5 of 400
Institutions
197
Columbia University
New York, United States
4 h-index
5 publications
226 citations
Tsinghua University
Beijing, China
4 h-index
11 publications
466 citations
Marina Del Rey Hospital
Marina del Rey, United States
3 h-index
3 publications
34 citations
University of Waterloo
Waterloo, Canada
3 h-index
6 publications
482 citations
Nanjing University of Aeronautics and Astronautics
Nanjing, China
3 h-index
5 publications
203 citations
Zhejiang University
Hangzhou, China
2 h-index
8 publications
290 citations
University of Florida
Gainesville, United States
2 h-index
7 publications
325 citations
University of Connecticut
Storrs, United States
2 h-index
3 publications
66 citations
1–8 of 197
Venues
- Engineering Applications of Artificial Intelligence
2 publications · 33 citations
2
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- Scientific Reports
2 publications · 87 citations
2
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- Child Development
2 publications · 69 citations
2
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- Statistics in Medicine
2 publications · 181 citations
2
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
2 publications · 193 citations
2
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