arXiv Open Access 2016

Conditional distribution variability measures for causality detection

José A. R. Fonollosa

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Abstrak

In this paper we derive variability measures for the conditional probability distributions of a pair of random variables, and we study its application in the inference of causal-effect relationships. We also study the combination of the proposed measures with standard statistical measures in the the framework of the ChaLearn cause-effect pair challenge. The developed model obtains an AUC score of 0.82 on the final test database and ranked second in the challenge.

Topik & Kata Kunci

stat.ML cs.LG

Penulis (1)

José A. R. Fonollosa

Format Sitasi

APA MLA BibTeX

Fonollosa, J.A.R. (2016). Conditional distribution variability measures for causality detection. https://arxiv.org/abs/1601.06680

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2016
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓