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Lectures on Algebraic Statistics
Taschenbuch von Mathias Drton (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Inhaltsverzeichnis
Markov Bases.- Likelihood Inference.- Conditional Independence.- Hidden Variables.- Bayesian Integrals.- Exercises.- Open Problems.
Details
Erscheinungsjahr: 2008
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 172
Inhalt: viii
172 S.
ISBN-13: 9783764389048
ISBN-10: 3764389044
Sprache: Englisch
Herstellernummer: 978-3-7643-8904-8
Autor: Drton, Mathias
Sturmfels, Bernd
Sullivant, Seth
Hersteller: Birkhäuser
Springer, Basel
Birkhäuser Basel
Abbildungen: VIII, 172 p.
Maße: 10 x 170 x 240 mm
Von/Mit: Mathias Drton (u. a.)
Erscheinungsdatum: 10.12.2008
Gewicht: 0,35 kg
preigu-id: 101788406
Inhaltsverzeichnis
Markov Bases.- Likelihood Inference.- Conditional Independence.- Hidden Variables.- Bayesian Integrals.- Exercises.- Open Problems.
Details
Erscheinungsjahr: 2008
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 172
Inhalt: viii
172 S.
ISBN-13: 9783764389048
ISBN-10: 3764389044
Sprache: Englisch
Herstellernummer: 978-3-7643-8904-8
Autor: Drton, Mathias
Sturmfels, Bernd
Sullivant, Seth
Hersteller: Birkhäuser
Springer, Basel
Birkhäuser Basel
Abbildungen: VIII, 172 p.
Maße: 10 x 170 x 240 mm
Von/Mit: Mathias Drton (u. a.)
Erscheinungsdatum: 10.12.2008
Gewicht: 0,35 kg
preigu-id: 101788406
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