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Cocolasso for high-dimensional error-in-variables regression
Abhirup Datta,
Hui Zou
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
57
Scopus citations
Overview
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Dive into the research topics of 'Cocolasso for high-dimensional error-in-variables regression'. Together they form a unique fingerprint.
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Mathematics
Errors in Variables
83%
Cross-validation
70%
High-dimensional
50%
Lasso
48%
Regression
47%
Measurement Error
44%
Missing Data
43%
Noisy Data
24%
Estimation Error
24%
Error Bounds
18%
Convexity
17%
Simulation Study
14%
Demonstrate
12%
Performance
12%
Standards
11%
Class
6%
Business & Economics
Cross-validation
100%
Errors in Variables
87%
Measurement Error
65%
Missing Data
53%
Error Bounds
30%
Estimation Error
26%
Convexity
23%
Simulation Study
19%
Performance
7%