English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Stochastic Complexity for Testing Conditional Independence on Discrete Data

MPS-Authors
/persons/resource/persons206670

Marx,  Alexander
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons79525

Vreeken,  Jilles
Databases and Information Systems, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

NIPSCL2018_paper_10.pdf
(Publisher version), 416KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Marx, A., & Vreeken, J. (2018). Stochastic Complexity for Testing Conditional Independence on Discrete Data. In Proceedings of the NeurIPS 2018 workshop on Causal Learning. Retrieved from https://drive.google.com/file/d/1mMkO5YZ5gkBRRFbfYb4DDRCsCN243eb2/view.


Cite as: https://hdl.handle.net/21.11116/0000-0002-9EC2-1
Abstract
There is no abstract available