Geometry of rank tests
Abstract
We study partitions of the symmetric group which have desirable geometric properties. The statistical tests defined by such partitions involve counting all permutations in the equivalence classes. These permutations are the linear extensions of partially ordered sets specified by the data. Our methods refine rank tests of non-parametric statistics, such as the sign test and the runs test, and are useful for the exploratory analysis of ordinal data. Convex rank tests correspond to probabilistic conditional independence structures known as semi-graphoids. Submodular rank tests are classified by the faces of the cone of submodular functions, or by Minkowski summands of the permutohedron. We enumerate all small instances of such rank tests. Graphical tests correspond to both graphical models and to graph associahedra, and they have excellent statistical and algorithmic properties.
Additional Information
This paper originated in discussions with Olivier Pourquié and Mary-Lee Dequéant in the DARPA Fundamental Laws of Biology Program, which supported Jason Morton, Lior Pachter, and Bernd Sturmfels. Anne Shiu was supported by a Lucent Technologies Bell Labs Graduate Research Fellowship. Oliver Wienand was supported by the Wipprecht foundation.Attached Files
Published - 7_paper.pdf
Submitted - 0605173.pdf
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Additional details
- Eprint ID
- 74836
- Resolver ID
- CaltechAUTHORS:20170307-095347077
- Defense Advanced Research Projects Agency (DARPA)
- Lucent Technologies Bell Labs
- Wipprecht Foundation
- Created
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2017-03-07Created from EPrint's datestamp field
- Updated
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2023-06-01Created from EPrint's last_modified field