Variable selection via penalized minimum φ-divergence estimation in logistic regression

ISSN： 1360-0532

Source： Journal of Applied Statistics, Vol.41, Iss.6, 2014-06, pp. : 1233-1246

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

New Influence Measures in Polytomous Logistic Regression Models Based on Phi-Divergence Measures

By MartÍn Nirian Pardo Leandro

Communications in Statistics: Theory and Methods, Vol. 43, Iss. 10-12, 2014-05 ,pp. : 2311-2321

Taylor & Francis Ltd

Access to resources Recommend Favorite

Minimum Φ-divergence estimator in logistic regression models

By Pardo Julio Pardo Leandro Pardo María

Statistical Papers, Vol. 47, Iss. 1, 2006-01 ,pp. : 91-108

Springer Publishing Company

Access to resources Recommend Favorite

SCAD‐penalized quantile regression for high‐dimensional data analysis and variable selection

Statistica Neerlandica, Vol. 69, Iss. 3, 2015-08 ,pp. : 212-235

John Wiley & Sons Inc

Access to resources Recommend Favorite

Bias in Penalized Quasi-Likelihood Estimation in Random Effects Logistic Regression Models When the Random Effects Are not Normally Distributed

By Austin Peter

Communications in Statistics: Simulation and Computation, Vol. 34, Iss. 3, 2005-01 ,pp. : 549-565

Taylor & Francis Ltd

Access to resources Recommend Favorite

Model selection and parameter estimation of a multinomial logistic regression model

By Hossain Shakhawat Ahmed S. Ejaz Howlader Hatem A.

Journal of Statistical Computation and Simulation, Vol. 84, Iss. 7, 2014-07 ,pp. : 1412-1426

Taylor & Francis Ltd

Access to resources Recommend Favorite