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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
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Article
›
peer-review
26
Scopus citations
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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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Keyphrases
Additive Model
100%
Error Variance
100%
Ultrahigh-dimensional
100%
Sparse Additive Models
66%
Monte Carlo Simulation Study
33%
Proposed Methodology
33%
Mean Squared Error
33%
Statistical Inference
33%
Error Estimates
33%
Asymptotic Behavior
33%
Finite Sample Performance
33%
Asymptotic Normality
33%
Spurious Correlation
33%
Nonparametric Model
33%
Cross-validation Method
33%
Root-n Consistency
33%
Sure Independence Screening
33%
Mathematics
Additive Model
100%
Variance Estimation
100%
Error Variance
100%
Monte Carlo
16%
Simulation Study
16%
Regression Model
16%
Cross-Validation
16%
Linear Models
16%
Inferential Statistics
16%
Squared Error
16%
Real Data
16%
Asymptotic Behavior
16%
Supplementary Material
16%
Asymptotic Normality
16%
Nonparametric Model
16%
Spurious Correlation
16%