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Surrogate dimension reduction in measurement error regressions
Jun Zhang, Liping Zhu,
Lixing ZHU
Department of Mathematics
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Citations (Scopus)
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Dive into the research topics of 'Surrogate dimension reduction in measurement error regressions'. Together they form a unique fingerprint.
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Mathematics
Surrogate
62%
Dimension Reduction
58%
Measurement Error
55%
Predictors
47%
Regression
39%
Nonparametric Smoothing
25%
Methodology
25%
Slicing
23%
Estimator
20%
Strong Consistency
19%
Diverge
19%
Asymptotic Normality
16%
Normality
15%
Evaluate
13%
Sample Size
13%
Simulation
10%
Performance
10%
Generalise
9%
Business & Economics
Dimension Reduction
100%
Measurement Error
81%
Predictors
55%
Nonparametric Smoothing
29%
Strong Consistency
27%
Estimator
27%
Sample Size
23%
Asymptotic Normality
22%
Normality
19%
Methodology
17%
Simulation
11%
Performance
6%