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引用本文:???,????,?????.????????????Ising?????????????[J].应用概率统计,2019,35(2):165-177.
作者姓名:???  ????  ?????
作者单位:??????????????????????, ????, 233000
摘    要:

关 键 词:Ising????  Logistic???  Lasso????  ??????  ???????  

Non-Concave Penalized Estimation Based on the Neighborhood Selection Method for Ising Model
LI Fanqun,YANG Guiyuan,ZHANG Kongsheng.Non-Concave Penalized Estimation Based on the Neighborhood Selection Method for Ising Model[J].Chinese Journal of Applied Probability and Statisties,2019,35(2):165-177.
Authors:LI Fanqun  YANG Guiyuan  ZHANG Kongsheng
Abstract:In this paper, we put non-concave penalty on the local conditional likelihood. We obtain the oracle property and asymptotic normal distribution property of the parameters in Ising model. With a union band, we obtain the sign consistence for the estimator of parameter matrix, and the convergence speed under the matrix $L_1$ norm. The results of the simulation studies and a real data analysis show that the non-concave penalized estimator has larger sensitivity.
Keywords:Ising graphical model  Logistic regression  Lasso estimation  nonconcave penalty  neighborhood selection  
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