This paper considers pointwise estimation of multivariate density function based on biased sample. We provide upper bounds of linear and nonlinear wavelet ...
This paper focuses on the density estimation problem that occurs when the sample is negatively associated and biased.
Dec 1, 2019 · This paper considers pointwise estimation of multivariate density function based on biased sample. We provide upper bounds of linear and ...
This paper considers pointwise estimation of multivariate density function based on biased sample. We provide upper bounds of linear and nonlinear wavelet ...
Sep 16, 2020 · This paper is concerned with the density estimation problem of negatively associated biased sample with the presence of multiple change-points.
This paper focuses on the density estimation problem that occurs when the sample is negatively associated and biased. We constructed a block thresholding ...
This paper focuses on the density estimation problem that occurs when the sample is negatively associated and biased. We constructed a block thresholding ...
People also ask
What is the bias of kernel density estimation?
Abstract: This paper focuses on the density estimation problem that occurs when the sample is negatively associated and biased.
Jul 25, 2019 · In this paper, we consider pointwise estimation over l p ( 1 ≤ p < ∞ ) risk for a density function based on a negatively associated sample. We ...
Dec 15, 2020 · This paper focuses on the multiple change-points detection for the biased regression function based on the dependent biased sample.