Applications of a Kullback-Leibler divergence for comparing non-nested models

DOI10.1177/1471082X13494610WikidataQ37735336 ScholiaQ37735336MaRDI QIDQ4970827

Chen-Pin Wang, Booil Jo

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

Kullback-Leibler divergenceinformation criterioncomparison of non-nested models

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• BayesDA

Cites Work

• A Mathematical Theory of Communication
• Using latent outcome trajectory classes in causal inference
• Bayesianly justifiable and relevant frequency calculations for the applied statistician
• Estimating the dimension of a model
• Expected information as ecpected utility
• Akaike's Information Criterion in Generalized Estimating Equations
• On a Measure of the Information Provided by an Experiment
• Model choice in generalised linear models: a Bayesian approach via Kullback-Leibler projections
• Estimating Bayes Factors via Posterior Simulation With the Laplace-Metropolis Estimator
• A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
• Residual Diagnostics for Growth Mixture Models
• On Information and Sufficiency
• A new look at the statistical model identification
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Applications of a Kullback-Leibler divergence for comparing non-nested models