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Error Variance Estimation in Ultrahigh-Dimensional Additive Models
Zhao Chen, Jianqing Fan,
Runze Li
Statistics
Department of Public Health Sciences
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
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Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
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Dive into the research topics of 'Error Variance Estimation in Ultrahigh-Dimensional Additive Models'. Together they form a unique fingerprint.
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Mathematics
Additive Models
82%
Variance Estimation
80%
Error Estimation
74%
Estimate
31%
High-dimensional
27%
Cross-validation
19%
Nonparametric Model
19%
Screening
18%
Mean Squared Error
16%
Statistical Inference
16%
Asymptotic Normality
16%
Independence
15%
Linear Model
15%
Monte Carlo Simulation
14%
Regression Model
14%
Roots
12%
Methodology
12%
Simulation Study
12%
Asymptotic Behavior
12%
Performance
10%
Business & Economics
Variance Estimation
100%
Additive Models
90%
Cross-validation
21%
Monte Carlo Simulation
21%
Spurious Correlation
20%
Statistical Inference
19%
Asymptotic Normality
18%
Nonparametric Model
18%
Mean Squared Error
16%
Finite Sample
14%
Screening
13%
Simulation Study
13%
Regression Model
11%
Methodology
6%
Performance
5%