A Bayesian Analysis of the Minimum AIC Procedure
Springer series in statisticsPublished 1 January 1998
Hirotugu Akaike
Citations558
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
By using a simple example a minimax type optimality of the minimum AIC procedure for the selection of models is demonstrated.
Keywords
MathematicsDecision SciencesEngineering
IEEE Transactions on Automatic ControlA new look at the statistical model identification
50,732 Citations1974Hirotugu Akaike
Springer series in statisticsInformation Theory and an Extension of the Maximum Likelihood Principle
17,886 Citations1998H. Akaike
