Sieve: Nonparametric Estimation by the Method of Sieves

Performs multivariate nonparametric regression/classification by the method of sieves (or using orthogonal series). The method is suitable for continuous/binary problems with multivariate or moderate high-dimensional features (dimension < 100). The main estimator in this package, penalized sieve estimator, is adaptive to the feature dimension with provable theoretical guarantees. Moreover, such a method is computationally tractable in the sense it typically has a polynomial dependence (rather than an exponential one) on the feature dimension and an almost linear dependence on the sample size. Details of the methods and model assumptions can be found in: Tianyu Zhang, and Noah Simon (2022) <arXiv:2206.02994>.

Package details

AuthorTianyu Zhang
MaintainerTianyu Zhang <>
Package repositoryView on CRAN
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Sieve documentation built on June 23, 2022, 1:06 a.m.