The Kernel Estimate of a Regression Function in Likelihood-Based Models

consistency asymptotic normality proportional hazards model nonparametric regression weighted likelihood penalized likelihood local likelihood Sufficient conditions Smoothing splines nonparametric kernel estimation

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

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