The focused information criterion for varying-coefficient partially linear measurement error models

DOI10.1007/s00362-014-0645-zzbMath1371.62038OpenAlexW2030588310MaRDI QIDQ259667

Xinjie Chen, Nancy Flournoy, Hai Ying Wang

Publication date: 18 March 2016

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-014-0645-z

zbMATH Keywords

model selectionsemi-parametric modelsmeasurement errorsmodel averagingfocused information criterion

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Model averaging based on rank ⋮ Online updating method to correct for measurement error in big data streams ⋮ Correlation analysis with additive distortion measurement errors ⋮ Semiparametric model averaging method for survival probability predictions of patients ⋮ Model selection and model averaging for analysis of truncated and censored data with measurement error ⋮ Correlation curve estimation for multiplicative distortion measurement errors data ⋮ Logarithmic calibration for nonparametric multiplicative distortion measurement errors models ⋮ Model averaging marginal regression for high dimensional conditional quantile prediction

Uses Software

• MAMI

Cites Work

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