Instrumental variable based SEE variable selection for Poisson regression models with endogenous covariates

Huang Ji-ting; Peixin Zhao; Xingshou Huang

doi:10.1007/s12190-018-1173-0

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Instrumental variable based SEE variable selection for Poisson regression models with endogenous covariates

Huang Ji-ting Peixin Zhao Xingshou Huang

Year: 2018 Journal: Journal of Applied Mathematics and Computing Vol: 59 (1-2)Pages: 163-178 Publisher: Springer Science+Business Media

DOI: 10.1007/s12190-018-1173-0

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Keywords:

Instrumental variable Covariate Feature selection Variable (mathematics) Mathematics Poisson regression Selection (genetic algorithm) Endogeneity Statistics Poisson distribution Regression analysis Econometrics Theory of computation Variables Mathematical optimization Computer science Algorithm Artificial intelligence Population

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Spatial and Panel Data Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Instrumental variable based SEE variable selection for Poisson regression models with endogenous covariates

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