Journal Article

DZNE-2020-04966

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Exact estimation of multiple directed acyclic graphs

Oates, C. J. (Corresponding author) ; Smith, J. Q. ; Mukherjee, S.DZNE* ; Cussens, J.

2016
Springer Science + Business Media B.V Dordrecht [u.a.]

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Please use a persistent id in citations: doi:10.1007/s11222-015-9570-9

Abstract: This paper considers structure learning for multiple related directed acyclic graph (DAG) models. Building on recent developments in exact estimation of DAGs using integer linear programming (ILP), we present an ILP approach for joint estimation over multiple DAGs. Unlike previous work, we do not require that the vertices in each DAG share a common ordering. Furthermore, we allow for (potentially unknown) dependency structure between the DAGs. Results are presented on both simulated data and fMRI data obtained from multiple subjects.

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Contributing Institute(s):

1. Statistics and Machine Learning (AG Mukherjee)

Research Program(s):

1. 345 - Population Studies and Genetics (POF3-345) (POF3-345)

Appears in the scientific report 2016

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Database coverage:
; Clarivate Analytics Master Journal List ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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