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Adaptively Truncated Signature-based Logistic Regression for Semi-parametric Functional Classification
Modern sensing technologies routinely generate multi-dimensional functional data, often accompanied by scalar covariates, motivating statistical methods that can jointly accommodate nonlinear functional effects, complex cross-component dependencies, and irregular sampling patterns. Existing function
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