An Invariant Bayesian Model Selection Principle for Gaussian Data (2004)

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by Eirik Fossgaard , Tor Flaa
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41 A tutorial introduction to the minimum description length principle – Peter Grünwald
1 Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Selection – Aaron D. Lanterman - 2000
Introducing the Minimum Description Length Principle – Peter Grünwald
21 Introduction to Minimum Encoding Inference – Jonathan J. Oliver, David Hand - 1994
36 MDL Denoising – Jorma Rissanen, J. Rissanen - 1999
6 MDL and MML: Similarities and Differences (Introduction to Minimum Encoding Inference -- Part III) – Rohan A. Baxter, Jonathan Oliver - 1994
30 Complexity-Regularized Image Denoising – Juan Liu, Pierre Moulin - 1997
4 Wavelet Thresholding via MDL: Simultaneous Denoising and Compression – Mark Hansen, Bin Yu - 1999
23 Wavelet thresholding via mdl for natural images – Mark Hansen, Bin Yu - 2000
12 Statistical Imaging and Complexity Regularization – Pierre Moulin, Juan Liu - 1999
6 Model Selection by Normalized Maximum Likelihood – Jay I. Myung , Daniel J. Navarro , Mark A. Pitt - 2005
Master Thesis – Lanterman - 91
60 Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity – Paul Vitányi, Ming Li - 1998
17 Applying MDL to Learning Best Model Granularity – Qiong Gao, Ming Li, Paul Vitányi - 1994
83 Multiresolution markov models for signal and image processing – Alan S. Willsky - 2002
39 Wavelet-Based Image Estimation: An Empirical Bayes Approach Using Jeffreys' Noninformative Prior – Mario A. T. Figueiredo, Robert D. Nowak - 2001
INDUCTIVE INFERENCE BY USING INFORMATION COMPRESSION – Ben Choi
33 Local discriminant bases and their applications – Ronald R. Coifman - 1995
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES – Wray Buntine