Variable Selection for Semiparametric Isotonic Regression Models

Jiang Du; Zhongzhan Zhang; Tianfa Xie

doi:10.1007/978-3-642-22833-9_64

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Variable Selection for Semiparametric Isotonic Regression Models

Jiang Du Zhongzhan Zhang Tianfa Xie

Year: 2011 Advances in intelligent and soft computing Pages: 525-532 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-22833-9_64

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Keywords:

Semiparametric regression Isotonic regression Isotonic Estimator Selection (genetic algorithm) Semiparametric model Variable (mathematics) Feature selection Mathematics Regression Regression analysis Econometrics Computer science Lasso (programming language) Statistics Applied mathematics Artificial intelligence Medicine Internal medicine Mathematical analysis

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Variable Selection for Semiparametric Isotonic Regression Models

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