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This article considers high-dimensional regression problems in which the number of predictors <italic>p</italic> exceeds the sample size <italic>n</italic>. We develop a model-averaging procedure for high-dimensional regression problems. Unlike most variable selection studies featuring the identification of true predictors, our...
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