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清華大學統計學研究所
國立清華大學統計學研究所
2017-08-23(三),主講人:Toshio Honda (Graduate School of Economics, Hitotsubashi University)

清華大學、交通大學

統 計 學 研 究 所

專 題 演 講

 


講 題: Variable selection and structure identification for varying coefficient Cox models
演講者: Prof. Toshio Honda (Graduate School of Economics, Hitotsubashi University)
時 間: 106年08月23日(星期三)10:30 - 12:00  (10:00 - 10:30 茶會於統計所821室舉行)
地 點: 綜合三館837室
摘 要:

We consider varying coefficient Cox models with high-dimensional covariates. We apply the group Lasso to these models and propose a variable selection procedure. Our procedure can cope with simultaneous variable selection and structure identification from a high dimensional varying coefficient model to a semivarying coefficient model. We also derive an oracle inequality and closely examine restrictive eigenvalue conditions. In this paper, we give the details for Cox models with time-varying coefficients. The theoretical results on variable selection can be easily extended to some other important models and we briefly mention those models since those models can be treated in the same way. The models considered in this paper are the most popular models among structured nonparametric regression models. The results of numerical studies are also reported.

 

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