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Title:

Bayesian Networks for Max-linear Models

Document type:
Buchbeitrag
Author(s):
Klüppelberg, C. and Lauritzen, S.
Pages contribution:
79-97
Abstract:
We study Bayesian networks based on max-linear structural equations as introduced in Gissibl and Klüppelberg [16] and provide a summary of their independence properties. In particular, we emphasize that distributions for such networks are never faithful to the independence model determined by their associated directed acyclic graph unless the latter is a polytree, in which case they are always faithful. In addition, we consider some of the basic issues of estimation and discuss generalized maxim...     »
Dewey Decimal Classification:
510 Mathematik
Editor:
Biagini, F. and Kauermann, G. and Meyer-Brandis, T.
Book title:
Network Science - An Aerial View
Edition:
1st Ed.
Publisher:
Springer International Publishing
Date of publication:
28.11.2019
Year:
2019
Quarter:
4. Quartal
Year / month:
2019-11
Month:
Nov
Pages:
128
Print-ISBN:
978-3-030-26813-8
E-ISBN:
978-3-030-26814-5
Language:
en
DOI:
doi:10.1007/978-3-030-26814-5
WWW:
Springer
Semester:
WS 19-20
TUM Institution:
Lehrstuhl für Mathematische Statistik
Format:
Text
 BibTeX