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A Note on Cross-Validation for Lasso Under Measurement Errors
Abhirup Datta,
Hui Zou
Statistics (Twin Cities)
Research output
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peer-review
2
Scopus citations
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Dive into the research topics of 'A Note on Cross-Validation for Lasso Under Measurement Errors'. Together they form a unique fingerprint.
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Mathematics
Lasso
100%
Cross-validation
95%
Measurement Error
90%
Covariates
43%
Penalized Regression
22%
Parameter Tuning
20%
Tuning
20%
Inconsistency
19%
Data-driven
19%
Regularization Parameter
18%
Training
17%
Oracle
17%
Prediction
13%
Demonstrate
10%
Estimate
7%
Engineering & Materials Science
Measurement errors
87%
Tuning
33%