Journal article

Bayesian network structure learning with permutation tests

Abstract:

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 maximization algorithms (in score-based algorithms) or the techniques for learning the dependencies of each variable (in constraint-based algorithms). In this article, we investigate how the use of permutation tests instead of parametric ones affects the performance of Bayesian n...

Authors

Journal:
Communications in Statistics - Theory and Methods
Volume:
41
Issue:
16-17
Pages:
3233-3243
Publication date:
2012-01-01
DOI:
EISSN:
1532-415X
ISSN:
0361-0926
Language:
English
Keywords:
Pubs id:
pubs:487747
UUID:
uuid:6f4f82b2-fc9e-48aa-a3ed-f4ae3c703900
Local pid:
pubs:487747
Source identifiers:
487747
Deposit date:
2014-11-11