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Identifying a minimal class of models for high-dimensional data
Daniel Nevo
, Ya'acov Ritov
Hebrew University of Jerusalem
Harvard University
University of Michigan, Ann Arbor
Research output
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Contribution to journal
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Article
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peer-review
7
Scopus citations
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Keyphrases
Prediction Accuracy
100%
High-dimensional Data
100%
Simulated Annealing
100%
Least Absolute Shrinkage and Selection Operator (LASSO)
100%
Random Search Algorithm
100%
Elastic Net
100%
Model Selection Consistency
100%
High-dimensional Regression
100%
Mathematics
Model Selection
100%
Search Algorithm
100%
Dimensional Data
100%
Elastic Net
100%
Random Search
100%
Computer Science
Simulated Annealing
100%
Prediction Accuracy
100%
High Dimensional Data
100%
Candidate Model
100%
Searching Algorithm
100%
Psychology
Model Selection
100%
Simulated Annealing
100%