Bayesian estimation of varying-coefficient models with missing data, with application to the Singapore Longitudinal Aging Study
DOI10.1080/00949655.2014.928821zbMath1457.62112OpenAlexW2026155999WikidataQ59273907 ScholiaQ59273907MaRDI QIDQ5220872
Tze-Pin Ng, Lei Feng, David J. Nott, Zhipeng Huang, Tien-Yin Wong, Jia-Liang Li
Publication date: 27 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2014.928821
longitudinal datamissing dataBayesian nonparametric estimationvarying-coefficient modelBayesian multiple-imputation
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Missing data (62D10)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Simple marginally noninformative prior distributions for covariance matrices
- Impact of unknown covariance structures in semiparametric models for longitudinal data: an application to Wisconsin diabetes data
- Statistical estimation in varying coefficient models
- Adaptively Varying-Coefficient Spatiotemporal Models
- Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression
- A Semiparametric Threshold Model for Censored Longitudinal Data Analysis
- Identification of the constant components in generalised semivarying coefficient models by cross-validation
- Efficient estimation for semivarying-coefficient models
- Bandwidth selection through cross-validation for semi-parametric varying-coefficient partially linear models
- The Calculation of Posterior Distributions by Data Augmentation
- Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
- Semiparametric Regression
- Adaptive Varying-Coefficient Linear Models
- Simultaneous probability statements for Bayesian P-splines
- Statistical Estimation in Generalized Multiparameter Likelihood Models
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Nonparametric Regression Methods for Longitudinal Data Analysis
- Bayesian auxiliary variable models for binary and multinomial regression
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
This page was built for publication: Bayesian estimation of varying-coefficient models with missing data, with application to the Singapore Longitudinal Aging Study
