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Unified Empirical Likelihood Ratio Tests for Functional Concurrent Linear Models and the Phase Transition from Sparse to Dense Functional Data

Unified Empirical Likelihood Ratio Tests for Functional Concurrent Linear Models and the Phase Transition from Sparse to Dense Functional Data

Summary We consider the problem of testing functional constraints in a class of functional concurrent linear models where both the predictors and the response are functional data measured at discrete time points. We propose test procedures based on the empirical likelihood with bias-corrected estimating equations to conduct both pointwise and …