Large numbers of explanatory variables: a probabilistic assessment
نویسندگان
چکیده
منابع مشابه
Large numbers of explanatory variables, a semi-descriptive analysis.
Data with a relatively small number of study individuals and a very large number of potential explanatory features arise particularly, but by no means only, in genomics. A powerful method of analysis, the lasso [Tibshirani R (1996) J Roy Stat Soc B 58:267-288], takes account of an assumed sparsity of effects, that is, that most of the features are nugatory. Standard criteria for model fitting, ...
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ژورنال
عنوان ژورنال: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
سال: 2018
ISSN: 1364-5021,1471-2946
DOI: 10.1098/rspa.2017.0631