Adaptive nonparametric density estimation withb-spline bases

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  • who: Yanchun Zhao et al. from the School of, Hefei University of Technology, Hefei, China have published the Article: Adaptive Nonparametric Density Estimation withB-Spline Bases, in the Journal: Mathematics 2023, 11, 291. of /2023/
  • what: By introducing the error indicator attached to each interval the authors propose an strategy to generate the nonuniform knot vector. The authors focus on the estimation of univariate density functions, which is a classic problem in nonparametric statistics. The authors aimed to refine only those intervals Ii=[ui, ui+1 ], which contributed significantly to the error f ( x ) - fu02c6 . . .

     

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