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High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
Fang Han,
Han Liu
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
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Dive into the research topics of 'High Dimensional Semiparametric Scale-Invariant Principal Component Analysis'. Together they form a unique fingerprint.
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Mathematics
Copula
100%
Principal Component Analysis
62%
Sample Size
25%
Outlier
25%
Gaussian
12%
Data Set
12%
Real-World Data
12%
Data Contamination
12%
Invariant
12%
Selection
12%
Modeling
12%
INIS
principal component analysis
62%
data
25%
size
12%
modeling
12%
transformations
12%
distribution
12%
dimensions
12%
multivariate analysis
12%
yields
12%
contamination
12%
Economics, Econometrics and Finance
Principal Component Analysis
62%
Estimation Theory
12%
Scientific Modelling
12%
Yield
12%