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  Causal discovery with scale-mixture model for spatiotemporal variance dependencies

Chen, Z., Zhang, K., & Chan, L. (2013). Causal discovery with scale-mixture model for spatiotemporal variance dependencies. In F. Pereira, C. J. Burges, L. Bottou, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 25 (pp. 1727-1735). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/2012/hash/4d5b995358e7798bc7e9d9db83c612a5-Abstract.html.

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 Creators:
Chen, Zhitang1, Author
Zhang, Kun2, Author           
Chan, Laiwan1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20122013-04
 Publication Status: Issued
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 26th Annual Conference on Neural Information Processing Systems (NIPS 2012)
Place of Event: Lake Tahoe, NV
Start-/End Date: 2012-12-03 - 2012-12-06

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Title: Advances in Neural Information Processing Systems 25
  Subtitle : 26th Annual Conference on Neural Information Processing Systems 2012
Source Genre: Proceedings
 Creator(s):
Pereira, F.1, Editor
Burges, C. J.1, Editor
Bottou, L.1, Editor
Weinberger, K. Q.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 3 Sequence Number: - Start / End Page: 1727 - 1735 Identifier: ISBN: 978-1-62748-003-1
URI: https://papers.nips.cc/paper/2012