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Showing 1 to 4 of 4 for “"Nonparametric Function Estimation"”.
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A penalized estimation procedure for varying coefficient models
… data. Various methods for estimating coefficient functions have been developed over the years. We revisit the problem under the theme of functional sparsity. The problem of sparsity, including global sparsity and local sparsity, is a recurrent topic in nonparametric function estimation. A function …
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Nonparametric function smoothing: fiducial inference of free knot splines and ecological applications
Nonparametric function estimation has proven to be a useful tool for applied statisticians. Classic techniques such as locally weighted regression and smoothing splines are being used in a variety of circumstances to address questions at the forefront of ecological theory. We first examine an …
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Cure Rate Model with Spline Estimated Components
… models. More specifically, the hazard function part is estimated by parametric or semiparametric model where the effect of covariate takes a parametric form. And the cure rate part is often estimated by a parametric logistic regression model. We introduce a non-parametric model …
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Cure Rate Models with Nonparametric Form of Covariate Effects
… focuses on development of spline-based hazard estimation models for cure rate data. Such data can be found in survival studies with long term survivors. Consequently, the population consists of the susceptible and non-susceptible sub-populations with the latter termed as "cured". The modeling …