Lectures on algebraic statistics

Reading Seminar Algebraic Statistics

In this seminar we are going to read Lectures on algebraic statistics by Mathias Drton, Seth Sullivant, and Bernd Sturmfels.

Time and location

Please e-mail me if you are interested in joining the seminar

From the cover

Lectures on Algebraic Statistics How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor analysis raise open problems about determinantal varieties? Connections of this type are at the heart of the new field of "algebraic statistics". In this field, mathematicians and statisticians come together to solve statistical inference problems using concepts from algebraic geometry as well as related computational and combinatorial techniques. The goal of these lectures is to introduce newcomers from the different camps to algebraic statistics. The introduction will be centered around the following three observations: many important statistical models correspond to algebraic or semi-algebraic sets of parameters; the geometry of these parameter spaces determines the behaviour of widely used statistical inference procedures; computational algebraic geometry can be used to study parameter spaces and other features of statistical models.

Getting started

Use Wikipedia to look up any term you don't know in the above text.

(c) Thomas Kahle - 12 Feb 2019
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