Bayesian Network Structure Learning with Permutation Tests

Details Bayesian Network Structure Learning with Permutation Tests Bayesian Network Structure Learning with Permutation Tests

2011-01-27

arxiv.org/abs/1101.5184v2

Statistics

Machine Learning

13 pages, 4 figures. Presented at the Conference 'Statistics for Complex Problems', Padova, June 15, 2010

Scientific paper

In literature there are several studies on the performance of Bayesian network structure learning algorithms. The focus of these studies is almost always the heuristics the learning algorithms are based on, i.e. the maximisation algorithms (in score-based algorithms) or the techniques for learning the dependencies of each variable (in constraint-based algorithms). In this paper we investigate how the use of permutation tests instead of parametric ones affects the performance of Bayesian network structure learning from discrete data. Shrinkage tests are also covered to provide a broad overview of the techniques developed in current literature.

Affiliated with

Also associated with

No associations

Rating

Bayesian Network Structure Learning with Permutation Tests does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Bayesian Network Structure Learning with Permutation Tests, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bayesian Network Structure Learning with Permutation Tests will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-544299