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derived optimization » driven optimization (Expand Search), required optimization (Expand Search), design optimization (Expand Search)
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
robust estimation » pose estimation (Expand Search), risk estimation (Expand Search)
risks derived » risks perceived (Expand Search), virus derived (Expand Search), lines derived (Expand Search)
binary risks » dietary risks (Expand Search), binary mask (Expand Search)
derived optimization » driven optimization (Expand Search), required optimization (Expand Search), design optimization (Expand Search)
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
robust estimation » pose estimation (Expand Search), risk estimation (Expand Search)
risks derived » risks perceived (Expand Search), virus derived (Expand Search), lines derived (Expand Search)
binary risks » dietary risks (Expand Search), binary mask (Expand Search)
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Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
Published 2022“…Building on existing work, we (i) derive and implement efficient cyclic coordinate descent and majorization-minimization optimization algorithms for continuous and binary outcome data, (ii) incorporate adaptive shrinkage penalties, (iii) compare these methods through simulation, and (iv) develop an R package <i>miselect</i>. …”