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Cross-dimensional inference of dependent high-dimensional data
Keyur H. Desai,
John D. Storey
Lewis-Sigler Institute for Integrative Genomics
Molecular Biology
Princeton Institute for Computational Science and Engineering
Center for Statistics & Machine Learning
Research output
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Article
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peer-review
20
Scopus citations
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Keyphrases
High-dimensional Data
100%
Cross-dimension
100%
Scientific Applications
50%
Random Variation
50%
Multiple Testing
50%
Neurobiology
50%
Point Estimation
50%
Multivariate Normal Distribution
50%
Genetic Epidemiology
50%
Inference Framework
50%
Spatial Epidemiology
50%
Mathematics
Dimensional Data
100%
Statistical Hypothesis Testing
100%
Point Estimation
100%
Multivariate Normal Distribution
100%
Random Variation
100%
Computer Science
High Dimensional Data
100%
Dimensional Cross
100%
Scientific Application
50%
Related Feature
50%
Scientific Problem
50%
Normal Distribution
50%
Estimation Point
50%
Psychology
Neurobiology
100%
Multivariate Normal Distribution
100%
Economics, Econometrics and Finance
Point Estimation
100%
Neuroscience
Neuroscience
100%