Probability model choice in single samples from exponential families using Poisson log-linear modelling, and model comparison using Bayes and posterior Bayes factors-Reference-Cited by-同舟云学术

Probability model choice in single samples from exponential families using Poisson log-linear modelling, and model comparison using Bayes and posterior Bayes factors

Published:1995-06 Issue:2 Volume:5 Page:113-120
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Aitkin Murray

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/BF00143941.pdf

Reference22 articles.

1. Aitkin, M. (1987) Modelling variance heterogeneity in normal regression using GLIM. Applied Statistics, 36, 332?339.

2. Aitkin, M. (1991) Posterior Bayes factors (with discussion). Journal of the Royal Statistical Society, B, 53, 111?142.

3. Aitkin, M. (1992a) Model choice in contingency table analysis using the posterior Bayes factor. Computational Statistics and Data Analysis, 13, 245?251.

4. Aitkin, M. (1992b) Evidence and the posterior Bayes factor. Mathematical Scientist, 17, 15?25.

5. Aitkin, M. (1993) Posterior Bayes factor analysis for an exponential regression model. Statistics and Computing, 3, 17?22.

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