Develops CRHD as a depth measure for sparse functional data using infimum of conditional halfspace probabilities to enable direct evaluation without curve reconstruction.
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Causal stability selection identifies treatment effect modifiers with a non-asymptotic bound on expected false positives by integrating cross-fitted CATE estimation and stability selection.
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Conditional regularized halfspace depth for sparse functional data and its applications
Develops CRHD as a depth measure for sparse functional data using infimum of conditional halfspace probabilities to enable direct evaluation without curve reconstruction.
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Causal Stability Selection
Causal stability selection identifies treatment effect modifiers with a non-asymptotic bound on expected false positives by integrating cross-fitted CATE estimation and stability selection.