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Smoothing spline estimation of variance functions
Anna Liu
,
Tiejun Tong
, Yuedong Wang
*
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
19
Citations (Scopus)
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Dive into the research topics of 'Smoothing spline estimation of variance functions'. Together they form a unique fingerprint.
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Keyphrases
Variance Function
100%
Variance Estimation
100%
Smoothing Spline
100%
Risk-unbiasedness
100%
Spline Estimation
100%
Generalized Maximum Likelihood Estimator
66%
Generalized Approximate Cross-validation
66%
Data-driven Methods
33%
Generalized Cross-validation
33%
Cross-validation Method
33%
Direct Method
33%
Guaranteed Convergence
33%
Smoothing Parameter
33%
Array Comparative Genomic Hybridization (aCGH)
33%
Generalized Maximum Likelihood
33%
Direct Data Driven
33%
Spline Smoothing
33%
Mathematics
Variance Function
100%
Cross-Validation
100%
Spline
100%
Approximates
66%
Maximum Likelihood Method
66%
Method Performs
66%
Direct Method
33%
Generalized Cross
33%
Maximum Likelihood
33%