Direction Estimation in a General Regression Model with Discrete Predictors

DOI10.1007/978-3-319-42571-9_4zbMath1366.62081OpenAlexW2528797020MaRDI QIDQ5283092

Yuexiao Dong, Zhou Yu

Publication date: 18 July 2017

Published in: New Developments in Statistical Modeling, Inference and Application (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-42571-9_4

zbMATH Keywords

numerical studiesgeneral regression modelcentral solution space (CSS)discrete predictorslinear conditional mean (LCM)

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Generalized linear models (logistic models) (62J12)

Cites Work

• Unnamed Item
• Direction estimation in single-index models via distance covariance
• Dimension reduction for the conditional \(k\)th moment via central solution space
• The EFM approach for single-index models
• Dimension reduction for nonelliptically distributed predictors
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Regression analysis under link violation
• Optimal smoothing in single-index models
• Direction Estimation in Single-Index Regressions via Hilbert-Schmidt Independence Criterion
• Dimension reduction for non-elliptically distributed predictors: second-order methods
• Reweighting to Achieve Elliptically Contoured Covariates in Regression
• Direct Semiparametric Estimation of Single-Index Models with Discrete Covariates
• Generalized Partially Linear Single-Index Models
• Semiparametric Estimation of Index Coefficients

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