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Empirical likelihood inferences for the semiparametric additive isotonic regression
Guang Cheng, Yichuan Zhao,
Bo Li
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Dive into the research topics of 'Empirical likelihood inferences for the semiparametric additive isotonic regression'. Together they form a unique fingerprint.
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Keyphrases
Isotonic Regression
100%
Regression Parameters
100%
Semi-parametric
100%
Empirical Likelihood Inference
100%
Empirical Likelihood
100%
Simulation Study
50%
Confidence Region
50%
Regression Model
50%
Chi-square Distribution
50%
Hassles
50%
Log-likelihood Ratio
50%
Nonparametric Component
50%
Smoothing Parameter
50%
Normal Approximation
50%
Monotone Functions
50%
Coverage Probability
50%
Profile Empirical Likelihood
50%
Empirical Log-likelihood
50%
Shape Constraints
50%
Mathematics
Empirical Likelihood
100%
Regression Parameter
66%
Simulation Study
33%
Confidence Region
33%
Regression Model
33%
Approximation Method
33%
Log Likelihood Ratio
33%
Normal Approximation
33%
Monotone Function
33%
Chi-Squared Distribution
33%
Accurate Probability Coverage
33%
Empirical Likelihood Method
33%