Bibliography

J. M. Bernardo and A. F. M. Smith.

Bayesian Theory.
Wiley Series in Probability and Mathematical Statistics. John Wiley and Sons, Chichester, 1994.

D. M. Boulton and C. S. Wallace.

A program for numerical classification.
The Computer Journal, 13 (1): 63-69, 1970.

D. G. T. Denison, B. K. Mallick, and A. F. M. Smith.

Automatic Bayesian curve fitting.
Journal of the Royal Statistical Society. Series B (Methodological), (60): 335-350, 1998.

A. J. Dobson.

An Introduction to Statistical Modelling.
Chapman and Hall, London, 1983.

D. L. Donoho and I. M. Johnstone.

Ideal spatial adaptation by wavelet shrinkage.
Biometrika, 81: 425-455, 1994.

D. L. Dowe, R. A. Baxter, J. J. Oliver, and C. S. Wallace.

Point estimation using the Kullback-Leibler loss function and MML.
In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD98), volume 1394 of Lecture Notes in Artificial Intelligence, pages 87-95. Springer-Verlag, 1998.

G. E. Farr and C. S. Wallace.

The complexity of strict minimum message length inference.
The Computer Journal, 45 (3): 285-292, 2002.

L. J. Fitzgibbon, D. L. Dowe, and L. Allison.

Message from Monte Carlo.
Technical Report 107, School of Computer Science and Software Engineering, Monash University, Clayton, Victoria 3800, Australia, 2002a.

L. J. Fitzgibbon, D. L. Dowe, and L. Allison.

Univariate polynomial inference by Monte Carlo message length approximation.
In C. Sammut and A. Hoffmann, editors, Proceedings of the Nineteenth International Conference on Machine Learning (ICML-2002), pages 147-154, San Francisco, July 2002b. University of New South Wales, Sydney, Australia, Morgan Kaufmann.

W. R. Gilks, S. Richardson, and D. J. Spiegelhalter.

Markov chain Monte Carlo in practice.
Chapman-Hall, London, 1996.

W. R. Gilks, A. Thomas, and D. J. Spiegelhalter.

A language and program for complex Bayesian modelling.
Statistician. Special Issue: Conference on Practical Bayesian Statistics, 43 (1): 169-177, 1994.

P. J. Green.

Reversible jump Markov chain Monte Carlo computation and Bayesian model determination.
Biometrika, 82: 711-732, 1995.

J. K. Lindsey.

Models for Repeated Measurements.
Oxford Statistical Science Series 10. Clarendon Press, Oxford, 1994.

D. M. Madigan and A. E. Raftery.

Model selection and accounting for model uncertainty in graphical models using Occam's window.
Journal of the American Statistical Association, 89 (428): 1535-1546, December 1994.

A. E. Raftery, D. Madigan, and J. A. Hoeting.

Bayesian model averaging for linear regression models.
Journal of the American Statistical Association, 92: 179-191, 1997.

C. S. Wallace and D. M. Boulton.

An information measure for classification.
Computer Journal, 11 (2): 185-194, August 1968.

C. S. Wallace and D. M. Boulton.

An invariant Bayes method for point estimation.
Classification Society Bulletin, 3 (3): 11-34, 1975.

C. S. Wallace and D. L. Dowe.

Minimum message length and Kolmogorov complexity.
The Computer Journal, Special Issue - Kolmogorov Complexity, 42 (4): 270-283, 1999.

C. S. Wallace and P. R. Freeman.

Estimation and inference by compact encoding (with discussion).
Journal of the Royal Statistical Society. Series B (Methodological), 49: 240-265, 1987.