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Abstract: This paper continues the introduction to minimum encoding inference given by Oliver and Hand. This series of papers were written with the objective of providing an introduction to this area for statisticians. We examine the relationship between Bayesianism and Minimum Message Length (MML) inference. We argue that MML augments Bayesian methods by providing a sound Bayesian method for point estimation which is invariant under non-linear transformations. We explore the issues of invariance of... (Update)
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BibTeX entry: (Update)
J.J. Oliver and R.A. Baxter, "Mml and bayesianism: similarities and differences", Technical Report 206, Monash University, Melbourne, 1994. http://citeseer.ist.psu.edu/oliver94mml.html More
@techreport{ oliver94mml,
author = "Oliver, J.J. and Baxter, R.A.",
title = "{MML} and {B}ayesianism: similarities and differences",
year = "1994",
url = "citeseer.ist.psu.edu/oliver94mml.html" }
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