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Cited by 365

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Lectures on Algebraic Statistics

Drton, Mathias, Sturmfels, Bernd, Sullivant, Seth·2009·Birkhäuser Basel eBooks

Abstract

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.

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Metadata

Authors
Drton, M., Sturmfels, B., & Sullivant, S.
Venue
Birkhäuser Basel eBooks
Published
2009
OpenAlex
W2168359188
Cited by
365
References
53
FWCI
7.83
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Lectures on Algebraic Statistics. https://app.cochat.ai/papers/10.1007/978-3-7643-8905-5
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Drton, M., Sturmfels, B., & Sullivant, S. (2009). Lectures on Algebraic Statistics. Birkhäuser Basel eBooks. https://doi.org/10.1007/978-3-7643-8905-5

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