General partially linear varying-coefficient transformation models for ranking data

DOI10.1080/02664763.2012.658357zbMath1473.62136OpenAlexW2041286601MaRDI QIDQ3168254

Jianbo Li, Tao Hu, Ming Gao Gu

Publication date: 30 October 2012

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

Full work available at URL: https://doi.org/10.1080/02664763.2012.658357

zbMATH Keywords

marginal likelihoodB-splinegeneral partially linear varying-coefficient transformation models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (1)

General partially linear additive transformation model with right-censored data

Cites Work

• Partially varying coefficient single index proportional hazards regression models
• Modeling heterogeneity in ranked responses by nonparametric maximum likelihood: How do Europeans get their scientific knowledge?
• A baseline-free procedure for transformation models under interval censorship
• A mixture of experts model for rank data with applications in election studies
• Varying-coefficient single-index model
• Rank regression
• Statistical estimation in varying coefficient models
• Distance-based tree models for ranking data
• Polynomial Spline Estimation for a Generalized Additive Coefficient Model
• Analysing Partial Ranks by Using Smoothed Paired Comparison Methods: An Investigation of Value Orientation in Europe
• Analysis of transformation models with censored data
• Miscellanea. On the linear transformation model for censored data
• Semiparametric analysis of transformation models with censored data
• Semiparametric Mixed-Effects Models for Clustered Failure Time Data
• Varying-coefficient models and basis function approximations for the analysis of repeated measurements
• Functional Coefficient Regression Models for Non-linear Time Series: A Polynomial Spline Approach
• Analysing Competing Risks Data With Transformation Models
• Partially Linear Hazard Regression for Multivariate Survival Data
• Semiparametric Transformation Models With Random Effects for Recurrent Events
• Marginal likelihood estimation for proportional odds models with right censored data
• A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates

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