English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders

MPS-Authors
/persons/resource/persons84212

Sgouritsa,  E.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons75626

Janzing,  D.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84135

Peters,  J.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84193

Schölkopf,  B.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Sgouritsa, E., Janzing, D., Peters, J., & Schölkopf, B. (2013). Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders. In A. Nicholson, & P. Smyth (Eds.), Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013) (pp. 556-565). Corvallis, Oregon, USA: AUAI Press. Retrieved from http://uai.sis.pitt.edu/papers/13/p556-sgouritsa.pdf.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0015-1A71-B
Abstract
There is no abstract available