A bayesian analysis for a class of penalised likelihood estimates

DOI10.1080/03610929508831540zbMath0825.62307OpenAlexW2090340700MaRDI QIDQ4843874

No author found.

Publication date: 17 August 1995

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929508831540

zbMATH Keywords

smoothing splinesridge regressionJeffreys' priorgeneralized cross validation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A bayesian analysis for less smooth departures from polynomial regression models

Cites Work

• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Bayes and empirical Bayes shrinkage estimation of regression coefficients
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

This page was built for publication: A bayesian analysis for a class of penalised likelihood estimates