Maximum approximate Bernstein likelihood estimation in a two-sample semiparametric model

DOI10.1080/10485252.2022.2158332arXiv2103.00648MaRDI QIDQ6104907

Zhong Guan

Publication date: 28 June 2023

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.00648

zbMATH Keywords

logistic regressiondensity estimationexponential tiltingkernel densitycase-control dataBernstein polynomial modelbeta mixture model

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric inference (62Gxx)

Cites Work

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• Bernstein polynomial model for grouped continuous data
• Bernstein polynomial model for nonparametric multivariate density
• Bandwidth selection for kernel density estimation: a Hermite series-based direct plug-in approach
• Density estimation under a two-sample semiparametric model

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