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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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Function-on-scalar regression captures time-varying effects of physical activity interventions on daily trajectories better than FPCA followed by scalar regression, as shown in the STEP UP study.
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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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Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
Function-on-scalar regression captures time-varying effects of physical activity interventions on daily trajectories better than FPCA followed by scalar regression, as shown in the STEP UP study.