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joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), model optimization (Expand Search)
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binary dataset » final dataset (Expand Search), ovary dataset (Expand Search), bin dataset (Expand Search)
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binary data » primary data (Expand Search), dietary data (Expand Search)
data codon » data code (Expand Search), data codes (Expand Search), data codings (Expand Search)
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Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
Published 2022“…This article considers a general class of penalized objective functions which, by construction, force selection of the same variables across imputed datasets. By pooling objective functions across imputations, optimization is then performed jointly over all imputed datasets rather than separately for each dataset. …”