Bayesian quantile regression for partially linear single-index model with longitudinal data

Changsheng Liu; Han‐Ying Liang; Yongmei Li

doi:10.1007/s00362-024-01633-2

ScienceGate Book Chapters

JOURNAL ARTICLE

Bayesian quantile regression for partially linear single-index model with longitudinal data

Changsheng Liu Han‐Ying Liang Yongmei Li

Year: 2024 Journal: Statistical Papers Vol: 66 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-024-01633-2

Get Full-Text PDF Get Analytical Report

Keywords:

Quantile regression Index (typography) Statistics Bayesian probability Bayesian multivariate linear regression Linear regression Longitudinal data Single-index model Mathematics Econometrics Bayesian linear regression Quantile Linear model Proper linear model Regression Computer science Bayesian inference Applied mathematics Data mining

Metrics

Cited By

3.07

FWCI (Field Weighted Citation Impact)

Refs

0.86

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Financial Risk and Volatility Modeling

Social Sciences → Economics, Econometrics and Finance → Finance

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Bayesian quantile regression for partially linear single-index model with longitudinal data

Metrics

Citation History

Topics

Related Documents

Single-index partially functional linear quantile regression

Quantile regression of partially linear single-index model with missing observations

Efficient estimation in the partially linear quantile regression model for longitudinal data

Bayesian single-index quantile regression for ordinal data

Bayesian quantile regression-based partially linear mixed-effects joint models for longitudinal data with multiple features