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Lectures on Algebraic Statistics

Lectures on Algebraic Statistics
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Field name Details
Dewey Class 519.5
Title Lectures on Algebraic Statistics ([Ebook]) / by Mathias Drton, Bernd Sturmfels, Seth Sullivant.
Author Drton, Mathias
Added Personal Name Sturmfels, Bernd
Sullivant, Seth
Other name(s) SpringerLink (Online service)
Publication Basel : Birkhäuser , 2009.
Physical Details VIII, 172 pages : online resource.
Series Oberwolfach Seminars ; 39
ISBN 9783764389055
Summary Note 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.:
Contents note Preface -- 1. Markov bases -- 2. Likelihood inference -- 3. Conditional independence -- 4. Hidden variables -- 5. Bayesian integrals -- 6. Exercises -- 7. Open problems.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-3-7643-8905-5
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