Regularization in regression : partial least squares and related models
High-dimensional data sets with a large number of explanatory variables are increasingly important in applications of regression analysis. It is well known that most traditional statistical techniques, such as the Ordinary Least Square (OLS) estimation do not perform well with such data and are eith...
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University of Leeds
2015
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685244 |