A tutorial introduction to the minimum description length principle

A tutorial introduction to the minimum description length principle

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Peter Grünwald

Venue:	in Advances in Minimum Description Length: Theory and Applications. 2005
Citations:	41 - 0 self

BibTeX

@INPROCEEDINGS{Grünwald_atutorial,
    author = {Peter Grünwald},
    title = {A tutorial introduction to the minimum description length principle},
    booktitle = {in Advances in Minimum Description Length: Theory and Applications. 2005},
    year = {},
    publisher = {MIT Press}
}

Bookmark

OpenURL

Abstract

Citations

6696	The Nature of Statistical Learning Theory - Vapnik - 1995
6515	Elements of Information Theory - Cover, Thomas - 1991
1581	Estimating the dimension of a model - SCHWARZ - 1978
1577	An Introduction to Probability Theory and Its Applications Volume I. 3rd edition - Feller - 1968
1412	An Introduction to Kolmogorov Complexity and Its Applications - Li, Vitanyi - 1997
896	BD: Pattern Recognition and Neural Networks - Ripley - 1996
892	Modeling by shortest data description - Rissanen - 1978
840	Information theory and an extension of the maximum likelihood principle - Akaike - 1973
787	Field Theory - Wit, Smith - 1986
717	Bayes factors - Kass, Raftery - 1995
428	Stochastic complexity - Rissanen - 1987
397	Three approaches to the quantitative definition of information - Kolmogorov - 1965
324	A universal prior for integers and estimation by minimum description length. Ann Stat - Rissanen - 1983
296	Statistical Inference - Casella, Berger - 1990
274	Inferring decision trees using the minimum description length principle. Information and Computation 80.227–248 - QUINLAN, RIVEST - 1989
270	An information measure for classification - Wallace, Boulton - 1968
258	Stochastic Complexity in Statistical Inquiry - Rissanen - 1989
238	The minimum description length principle in coding and modeling - Barron, Rissanen, et al. - 1998
234	Universal Coding, Information, Prediction, and Estimation - Rissanen - 1984
227	Fisher information and stochastic complexity - Rissanen - 1996
218	Stochastic complexity and modeling - Rissanen - 1986
186	On the length of programs for computing finite binary sequences - Chaitin - 1966
176	Minimum complexity density estimation - Barron, Cover - 1991
173	Estimation and inference by compact coding - CS, PR - 1987
137	The similarity metric - Li, Chen, et al.
126	An invariant form for the prior probability in estimation problems - Jeffreys - 1946
114	B: Model selection and the principle of minimum description length - MH, Yu
111	The selection of prior distributions by formal rules - Kass, Wasserman - 1996
108	Complexity-Based Induction Systems: Comparisons and Convergence Theorems - Solomonoff - 1978
101	An Experimental and Theoretical Comparison of Model Selection Methods - Kearns, Mansour, et al. - 1999
100	Probability and Finance: It’s Only a Game - Shafer, Vovk - 2001
91	Universal sequential coding of single messages - Shtarkov - 1987
75	Bayesian Statistics: An Introduction - Lee - 1989
70	The Role of Occam’s Razor in Knowledge Discovery - Domingos - 1999
66	Complexity regularization with applications to artificial neural networks - BARRON - 1991
65	The Minimum Description Length Principle and Reasoning - Grünwald - 1998
61	Geometrical Foundations of Asymptotic Inference - Kass, Vos - 1997
57	Probability Theory: The Logic of Science; Cambridge - Jaynes, Bretthorst
52	Logically smooth density estimation - Barron - 1985
51	Further experimental evidence against the utility of Occam’s Razor - Webb
47	Present position and potential developments: Some personal views, statistical theory, the prequential approach - Dawid - 1984
45	Statistical inference, Occam’s razor, and statistical mechanics on the space of probability distributions - Balasubramanian - 1997
44	Prequential analysis, stochastic complexity and Bayesian inference - DAWID - 1991
42	The consistency of the BIC Markov order estimator - Csiszár, Shields - 2000
41	Algorithmic statistics - Gács, Tromp, et al. - 2001
41	Strong optimality of the normalized ML models as universal codes and information in data - Rissanen - 2001
41	A formal theory of inductive inference, Part 1 and Part 2 - Solomonoff
41	A decision-theoretic extension of stochastic complexity and its applications to learning - Yamanishi - 1995
36	Counting Probability Distributions: Differential Geometry and Model Selection”, Proceedings of the National Academy of Science, 97(21) 11170–11175, 2000. As the estimate illustrates an intuitive reason why the appearance of the second peak is so important - Myung, Balasubramanian, et al. - 2004
36	MDL denoising - Rissanen - 2000