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Showing 1 to 1 of 1 for “"Joint Variable Selection"”.
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High-Dimensional Functional Graphs and Inference for Unknown Heterogeneous Populations
… Secondly, we address the challenge of variable selection within FMR in high-dimensional settings by proposing a joint variable selection technique. This technique employs a penalized expectation-maximization (EM) algorithm that leverages shared structures across regression components, …