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February 2004 Model Uncertainty
Merlise Clyde, Edward I. George
Statist. Sci. 19(1): 81-94 (February 2004). DOI: 10.1214/088342304000000035

Abstract

The evolution of Bayesian approaches for model uncertainty over the past decade has been remarkable. Catalyzed by advances in methods and technology for posterior computation, the scope of these methods has widened substantially. Major thrusts of these developments have included new methods for semiautomatic prior specification and posterior exploration. To illustrate key aspects of this evolution, the highlights of some of these developments are described.

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Merlise Clyde. Edward I. George. "Model Uncertainty." Statist. Sci. 19 (1) 81 - 94, February 2004. https://doi.org/10.1214/088342304000000035

Information

Published: February 2004
First available in Project Euclid: 14 July 2004

zbMATH: 1062.62044
MathSciNet: MR2082148
Digital Object Identifier: 10.1214/088342304000000035

Rights: Copyright © 2004 Institute of Mathematical Statistics

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Vol.19 • No. 1 • February 2004
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