Articles by Steven De Rooij | Synthical

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13

A tutorial on MDL hypothesis testing for graph analysis

31 October 2018 by Peter Bloem and Steven Rooij

Machine Learning

An Expectation-Maximization Algorithm for the Fractal Inverse Problem

30 June 2017 by Peter Bloem and Steven Rooij

Machine Learning

Finding Network Motifs in Large Graphs using Compression as a Measure of Relevance

9 June 2017 by Peter Bloem and Steven Rooij

Machine Learning

Universal Codes from Switching Strategies

26 November 2013 by Wouter Koolen and Steven Rooij

Information Theory, Machine Learning

Follow the Leader If You Can, Hedge If You Must

17 January 2013 by Steven Rooij and others

Machine Learning

28 October 2011 by Tim Van Erven and others

Machine Learning

Probability-free pricing of adjusted American lookbacks

20 August 2011 by A. Philip Dawid and others

Pricing of Securities

Insuring against loss of evidence in game-theoretic probability

21 October 2010 by A. Philip Dawid and others

Statistics Theory, Probability

Catching Up Faster by Switching Sooner: A Prequential Solution to the AIC-BIC Dilemma

7 July 2008 by Tim Van Erven and others

Statistics Theory, Information Theory

Combining Expert Advice Efficiently

15 February 2008 by Wouter Koolen and Steven Rooij

Machine Learning, Data Structures and Algorithms

Approximating Rate-Distortion Graphs of Individual Data: Experiments in Lossy Compression and Denoising

21 September 2006 by Steven Rooij and Paul Vitanyi

Information Theory

Asymptotic Log-loss of Prequential Maximum Likelihood Codes

1 February 2005 by Peter Grunwald and Steven Rooij

Machine Learning, Information Theory

An Empirical Study of MDL Model Selection with Infinite Parametric Complexity

14 January 2005 by Steven Rooij and Peter Grunwald

Machine Learning, Information Theory

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Topics

Machine Learning Information Theory Statistics Theory Pricing of Securities Probability Trading and Market Microstructure Methodology Data Structures and Algorithms