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Estimating residual variance in nonparametric regression using least squares
Tiejun Tong
*
, Yuedong Wang
*
Corresponding author for this work
Department of Mathematics
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Dive into the research topics of 'Estimating residual variance in nonparametric regression using least squares'. Together they form a unique fingerprint.
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Mathematics
Nonparametric Regression
54%
Least Squares
46%
Nonparametric Model
23%
Regression Model
17%
Simple Linear Regression
13%
Optimal Rates
12%
Intercept
12%
Multivariate Functions
12%
Normed Space
10%
Linear Regression Model
10%
Covariates
8%
Evaluate
8%
Dependent
6%
Observation
6%
Simulation
6%
Design
6%
Estimator
6%
Performance
6%
Subset
5%
Arbitrary
5%
Business & Economics
Nonparametric Regression
100%
Least Squares
56%
Regression Model
17%
Linear Regression Model
11%
Finite Sample
11%
Covariates
10%
Estimator
8%
Simulation
7%
Medicine & Life Sciences
Least-Squares Analysis
58%
Linear Models
16%
Agriculture & Biology
least squares
51%
methodology
14%
Engineering & Materials Science
Linear regression
17%
Set theory
11%