An extension of bayesian measure of information to regression

DOI10.1080/03610928608829334zbMath0612.62098OpenAlexW2077642188MaRDI QIDQ3753327

D. V. Gokhale, Ehsan S. Soofi

Publication date: 1986

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

Full work available at URL: https://doi.org/10.1080/03610928608829334

zbMATH Keywords

linear modelorthogonal designridge parameterinformation theoretic optimal designLindley's measure of average information

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Statistical aspects of information-theoretic topics (62B10)

Related Items

Principal component regression under exchangeability ⋮ Effects of collinearity on information about regression coefficients

Cites Work

• Unnamed Item
• Unnamed Item
• On a Measure of the Information Provided by an Experiment
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• On Information and Sufficiency

This page was built for publication: An extension of bayesian measure of information to regression