Journal article icon

Journal article

Distributional equivalence and structure learning for bow-free acyclic path diagrams

Abstract:

We consider the problem of structure learning for bow-free acyclic path diagrams (BAPs). BAPs can be viewed as a generalization of linear Gaussian DAG models that allow for certain hidden variables. We present a first method for this problem using a greedy score-based search algorithm. We also prove some necessary and some sufficient conditions for distributional equivalence of BAPs which are used in an algorithmic approach to compute (nearly) equivalent model structures. This allows us to in...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

Actions


Access Document


Files:
Publisher copy:
10.1214/17-EJS1372

Authors


Nowzohour, C More by this author
Maathuis, M More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Statistics
Oxford college:
Jesus College
Buehlmann, P More by this author
Publisher:
Institute of Mathematical Statistics Publisher's website
Journal:
Electronic Journal of Statistics Journal website
Volume:
11
Issue:
2
Pages:
5342–5374
Publication date:
2017-12-28
Acceptance date:
2017-11-17
DOI:
ISSN:
1935-7524
Pubs id:
pubs:746200
URN:
uri:83bd7ba3-9ecc-4165-8608-10c2eb669fe6
UUID:
uuid:83bd7ba3-9ecc-4165-8608-10c2eb669fe6
Local pid:
pubs:746200

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP