Lectures on Algebraic Statistics is popular PDF and ePub book, written by Mathias Drton in 2009-04-25, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Lectures on Algebraic Statistics can be Read Online from any device for your convenience.
Lectures on Algebraic Statistics Book PDF 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.
Detail Book of Lectures on Algebraic Statistics PDF
- Author : Mathias Drton
- Release : 25 April 2009
- Publisher : Springer Science & Business Media
- ISBN : 9783764389055
- Genre : Mathematics
- Total Page : 177 pages
- Language : English
- PDF File Size : 7,5 Mb
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