SMML codelength for data from the binomial distribution
Version 1.0.1 (3.65 KB) by Statovic
This is an implementation of the polynomial time algorithm for computing the SMML codelength for data from the binomial distribution.
Updated 15 Nov 2022
Strict Minimum Message Length (SMML) is criterion for statistical inference based on information theory. For general statistical models computing the SMML codelength of a model is NP-hard. This function implements the dynamic programming algorithm of Farr and Wallace (see ) that computes the SMML codelength for the binomial distribution in polynomial time. We assume a uniform prior on the probability of success. The algorithm is equivalent to Dijkstra's shortest path algorithm. For details on the algorithm and SMML, please see .
[P, msglen] = smml_binomial(10);
 Farr, G. E.; Wallace, C. S.
The Complexity of Strict Minimum Message Length Inference
Computer Journal; May 2002, Vol. 45 Issue 3, p285
MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform CompatibilityWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.