Asymptotic Normality of the Deconvolution Kernel Density Estimator based on Independent Right Censored Data

Wenqing Zhu; Shan Sun; Pei Wang; Hrishabh Khakurel

doi:10.1007/s44007-022-00019-w

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Asymptotic Normality of the Deconvolution Kernel Density Estimator based on Independent Right Censored Data

Wenqing Zhu Shan Sun Pei Wang Hrishabh Khakurel

Year: 2022 Journal: La Matematica Vol: 1 (2)Pages: 531-550 Publisher: Springer Nature

DOI: 10.1007/s44007-022-00019-w

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Keywords:

Kernel density estimation Mathematics Deconvolution Estimator Asymptotic distribution Kernel (algebra) Censoring (clinical trials) Statistics Applied mathematics Density estimation Multivariate kernel density estimation Variable kernel density estimation Convolution (computer science) Kernel method Computer science Artificial intelligence Combinatorics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Asymptotic Normality of the Deconvolution Kernel Density Estimator based on Independent Right Censored Data

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