Lectures on algebraic statistics

The Resource Lectures on algebraic statistics
Label
Lectures on algebraic statistics
Statement of responsibility
by Mathias Drton, Bernd Sturmfels, Seth Sullivant
Creator
Contributor
Subject
Language
eng
Summary
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
Member of
Is part of
Cataloging source
GW5XE
Dewey number
519.5
Illustrations
illustrations
Index
no index present
Language note
English
LC call number
QA276
LC item number
.D78 2009
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Oberwolfach seminars
Series volume
39
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