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Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity Pursuit
Le Zhou
,
Hui Zou
Work and Organizations
Statistics (Twin Cities)
Research output
:
Contribution to journal
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Article
›
peer-review
Overview
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Dive into the research topics of 'Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity Pursuit'. Together they form a unique fingerprint.
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Mathematics
Pursuit
100%
Heteroscedasticity
98%
High-dimensional
65%
Regression
61%
Homoscedasticity
23%
Heteroscedastic Regression
22%
Heteroscedastic Model
21%
Concentration Inequalities
20%
Parameter Selection
20%
Parameter Tuning
19%
Estimator
19%
Tuning
18%
Sparsity
16%
Linear Regression Model
15%
Theoretical Analysis
15%
Regression Model
13%
Rate of Convergence
12%
Estimate
7%
Model
5%
Business & Economics
Heteroscedasticity
96%
Estimator
25%
Homoscedasticity
25%
Rate of Convergence
19%
Linear Regression Model
18%
Theoretical Analysis
15%
Regression Model
13%