Nonlinear models of disability and age applied to census data

DOI10.1080/02664763.2010.545120OpenAlexW2030115254MaRDI QIDQ5124908

No author found.

Publication date: 30 September 2020

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

Full work available at URL: http://hdl.handle.net/10016/8232

zbMATH Keywords

splinesneural networksdisabilitylocal estimationBARS

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• WinBUGS

Cites Work

• Unnamed Item
• Unnamed Item
• Robust reconstruction of functions by the local-approximation method
• Consistent nonparametric regression. Discussion
• Bayesian learning for neural networks
• Bayesian curve-fitting with free-knot splines
• Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Bayesian Nonparametrics via Neural Networks
• Approximation by superpositions of a sigmoidal function

This page was built for publication: Nonlinear models of disability and age applied to census data