English

Finite-State Extreme Effect Variable

Machine Learning 2020-01-01 v1 Information Retrieval Machine Learning Probability

Abstract

We generalize to the finite-state case the notion of the extreme effect variable YY that accumulates all the effect of a variant variable VV observed in changes of another variable XX. We conduct theoretical analysis and turn the problem of finding of an effect variable into a problem of a simultaneous decomposition of a set of distributions. The states of the extreme effect variable, on the one hand, are minimally affected by the variant variable VV and, on the other hand, are extremely different with respect to the observable variable XX. We apply our technique to online evaluation of a web search engine through A/B testing and show its utility.

Cite

@article{arxiv.1912.13377,
  title  = {Finite-State Extreme Effect Variable},
  author = {Alexey Drutsa},
  journal= {arXiv preprint arXiv:1912.13377},
  year   = {2020}
}

Comments

15 pages; 2 figures; 1 table

R2 v1 2026-06-23T12:59:55.746Z