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Document type:
Konferenzbeitrag 
Contribution type:
Vortrag / Präsentation 
Author(s):
David Strieder, Tobias Freidling, Stefan Haffner, Mathias Drton 
Title:
Confidence in causal discovery with linear causal models 
Pages contribution:
1217-1226 
Abstract:
Structural causal models postulate noisy functional relations among a set of interacting variables. The causal structure underlying each such model is naturally represented by a directed graph whose edges indicate for each variable which other variables it causally depends upon. Under a number of different model assumptions, it has been shown that this causal graph and, thus also, causal effects are identifiable from mere observational data. For these models, practical algorithms have been devis...    »
 
Dewey Decimal Classification:
510 Mathematik 
Editor:
MLResearchPress 
Book / Congress title:
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence 
Volume:
161 
Date of congress:
27-30 July 2021 
Date of publication:
01.07.2021 
Year:
2021 
Quarter:
3. Quartal 
Year / month:
2021-07 
Month:
Jul 
Language:
en 
Publication format:
WWW 
Semester:
SS 21 
TUM Institution:
Lehrstuhl für Mathematische Statistik 
Format:
Text