Nonlinear Hierarchical Models
Nonlinear Hierarchical Models is a statistical modeling framework that belongs to the class of hierarchical models and is distinguished by its specification of nonlinear functional relationships at multiple levels of data organization to account for complex dependencies and variability across nested or grouped structures.
76
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7.2K
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209
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117
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2017–2026
13
Variants
Nonlinear Hierarchical Modeling
76
Hierarchical generalized additive models in ecology: an introduction with mgcv
Eric J. Pedersen, David L. Miller, Gavin L. Simpson et al. · PeerJ · 2019 · 1.2K citations · Full text
Business, Biostatistics, Ecology +14
Nonlinear Models for Repeated Measurement Data
Neil H. Timm, Marie Davidian, David M. Giltinan · Technometrics · 1996 · 788 citations
Discriminative Deep Metric Learning for Face Verification in the Wild
Junlin Hu, Jiwen Lu, Yap‐Peng Tan · 2014 · 692 citations · Full text
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University of Pittsburgh
Pittsburgh, United States
3 h-index
3 publications
1.2K citations

University of St Andrews
St Andrews, United Kingdom
3 h-index
3 publications
1.2K citations
Memorial University of Newfoundland
St. John's, Canada
3 h-index
3 publications
1.2K citations
Fisheries and Oceans Canada
Ottawa, Canada
3 h-index
3 publications
1.2K citations
EcoHealth Alliance
New York, United States
3 h-index
3 publications
1.2K citations

University of Regina
Regina, Canada
3 h-index
3 publications
1.2K citations
Duke University
Durham, United States
2 h-index
3 publications
286 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
71 citations
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3 publications · 355 citations
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3 publications · 1.4K citations
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Repository · 2 publications · 74 citations
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2 publications · 816 citations
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1 publications · 90 citations
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