High-Dimensional Sparse Additive Hazards Regression
نویسندگان
چکیده
منابع مشابه
High-Dimensional Sparse Additive Hazards Regression
High-dimensional sparse modeling with censored survival data is of great practical importance, as exemplified by modern applications in high-throughput genomic data analysis and credit risk analysis. In this article, we propose a class of regularization methods for simultaneous variable selection and estimation in the additive hazards model, by combining the nonconcave penalized likelihood appr...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2013
ISSN: 0162-1459,1537-274X
DOI: 10.1080/01621459.2012.746068