Uniform convergence rate of kernel estimation with mixed categorical and continuous data

DOI10.1016/J.ECONLET.2004.07.018zbMath1255.62113OpenAlexW2040495564MaRDI QIDQ1927750

Desheng Ouyang, Q. Li

Publication date: 2 January 2013

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.econlet.2004.07.018

zbMATH Keywords

nonparametric smoothingcategorical variableweakly dependent datauniform rate

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (6)

Yet another look at the omitted variable bias ⋮ Uniform convergence rates and automatic variable selection in nonparametric regression with functional and categorical covariates ⋮ Determining the number of effective parameters in kernel density estimation ⋮ Nonparametric regression with weakly dependent data: the discrete and continuous regressor case ⋮ Semi-Parametric Estimation for Forward–Backward Stochastic Differential Equations ⋮ Testing independence between exogenous variables and unobserved errors

Cites Work

• Nonparametric estimation of regression functions with both categorical and continuous data
• Nonparametric estimation of distributions with categorical and continuous data
• Multivariate binary discrimination by the kernel method
• MULTIVARIATE LOCAL POLYNOMIAL REGRESSION FOR TIME SERIES:UNIFORM STRONG CONSISTENCY AND RATES

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