Deconvolving multidimensional density from partially contaminated observations

DOI10.1016/S0378-3758(01)00238-5zbMath1011.62039WikidataQ126572570 ScholiaQ126572570MaRDI QIDQ1600747

Jiaqin Chen, Ming Yuan

Publication date: 16 June 2002

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

asymptotic normalitydeconvolutionstrong mixingkernel density estimationstrong consistencymean squared errorspartial contamination

Mathematics Subject Classification ID

Density estimation (62G07) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20)

Related Items

Iterative density estimation from contaminated observations, Generalized deconvolution estimation by multiwavelets, Point-wise wavelet estimation in the convolution structure density model, Oracle inequalities and adaptive estimation in the convolution structure density model, Low Order Approximations in Deconvolution and Regression with Errors in Variables, Density estimation with contamination: minimax rates and theory of adaptation

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