Nonparametric estimation and U-statistics have emerged as vital tools in modern statistical analysis, offering robust alternatives to traditional parametric methods. Nonparametric techniques bypass ...
Nonparametric regression for functional data provides a flexible statistical framework for modelling relationships between a scalar response and predictors that are inherently functional in nature.
We study the simultaneous domain selection problem for varying coefficient models as a functional regression model for longitudinal data with many covariates. The domain selection problem in a ...
NONPARAMETRIC SCREENING UNDER CONDITIONAL STRICTLY CONVEX LOSS FOR ULTRAHIGH DIMENSIONAL SPARSE DATA
Sure screening technique has been considered as a powerful tool to handle the ultrahigh dimensional variable selection problems, where the dimensionality p and the sample size n can satisfy the NP ...
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
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