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Envelopes in multivariate regression models with nonlinearity and heteroscedasticity
X. Zhang, C. E. Lee,
X. Shao
Statistics
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Dive into the research topics of 'Envelopes in multivariate regression models with nonlinearity and heteroscedasticity'. Together they form a unique fingerprint.
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Business & Economics
Heteroscedasticity
72%
Martingale
71%
Multivariate Regression
70%
Regression Model
49%
Dimension Reduction
33%
Equality
17%
Parameter Estimation
9%
Simulation
5%
Methodology
4%
Mathematics
Envelope
61%
Nonlinearity
44%
Martingale Difference
25%
Divergence
16%
Multivariate Linear Model
7%
Standards
4%
Heteroscedastic Errors
3%
Dimension Reduction
3%
Data analysis
2%
Parameter Estimation
2%
Methodology
2%
Model
1%
Simulation
1%
Context
1%
Estimate
1%
Agriculture & Biology
heteroskedasticity
100%
linear models
30%
slicing
20%
data analysis
14%
methodology
4%
Medicine & Life Sciences
Linear Models
31%
Data Analysis
15%
Engineering & Materials Science
Parameter estimation
13%
Tuning
11%