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Open Problems in Algebraic Statistics

Authors
  • Sturmfels, Bernd
Type
Preprint
Publication Date
Nov 10, 2007
Submission Date
Jul 31, 2007
Identifiers
arXiv ID: 0707.4558
Source
arXiv
License
Unknown
External links

Abstract

Algebraic statistics is concerned with the study of probabilistic models and techniques for statistical inference using methods from algebra and geometry. This article presents a list of open mathematical problems in this emerging field, with main emphasis on graphical models with hidden variables, maximum likelihood estimation, and multivariate Gaussian distributions. This article is based on a lecture presented at the IMA in Minneapolis during the 2006/07 program on Applications of Algebraic Geometry.

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