Open Problems in Algebraic Statistics

Details Open Problems in Algebraic Statistics Open Problems in Algebraic Statistics

2007-07-31

arxiv.org/abs/0707.4558v2

Mathematics

Statistics Theory

13 pages

Scientific paper

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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