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  Testing Conditional Independence on Discrete Data using Stochastic Complexity

Marx, A., & Vreeken, J. (2019). Testing Conditional Independence on Discrete Data using Stochastic Complexity. In K. Chaudhuri, & M. Sugiyama (Eds.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (pp. 496-505). PMLR.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-0D3C-D Version Permalink: https://hdl.handle.net/21.11116/0000-0006-3FB4-9
Genre: Conference Paper

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http://proceedings.mlr.press/v89/marx19a/marx19a.pdf (Publisher version)
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 Creators:
Marx, Alexander1, Author           
Vreeken, Jilles2, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20192019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Marx_AISTATS2019
 Degree: -

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Title: 22nd International Conference on Artificial Intelligence and Statistics
Place of Event: Naha, Okinawa, Japan
Start-/End Date: 2019-04-16 - 2019-04-18

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Title: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics
  Abbreviation : AISTATS 2019
Source Genre: Proceedings
 Creator(s):
Chaudhuri, Kamalika1, Editor
Sugiyama, Masashi1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 496 - 505 Identifier: -

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Title: Proceedings of the Machine Learning Research
  Abbreviation : PMRL
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 89 Sequence Number: - Start / End Page: - Identifier: -