An Introduction to Algebraic Statistics with Tensors

An Introduction to Algebraic Statistics with Tensors
Author :
Publisher : Springer Nature
Total Pages : 235
Release :
ISBN-10 : 9783030246242
ISBN-13 : 3030246248
Rating : 4/5 (248 Downloads)

Book Synopsis An Introduction to Algebraic Statistics with Tensors by : Cristiano Bocci

Download or read book An Introduction to Algebraic Statistics with Tensors written by Cristiano Bocci and published by Springer Nature. This book was released on 2019-09-11 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to various aspects of Algebraic Statistics with the principal aim of supporting Master’s and PhD students who wish to explore the algebraic point of view regarding recent developments in Statistics. The focus is on the background needed to explore the connections among discrete random variables. The main objects that encode these relations are multilinear matrices, i.e., tensors. The book aims to settle the basis of the correspondence between properties of tensors and their translation in Algebraic Geometry. It is divided into three parts, on Algebraic Statistics, Multilinear Algebra, and Algebraic Geometry. The primary purpose is to describe a bridge between the three theories, so that results and problems in one theory find a natural translation to the others. This task requires, from the statistical point of view, a rather unusual, but algebraically natural, presentation of random variables and their main classical features. The third part of the book can be considered as a short, almost self-contained, introduction to the basic concepts of algebraic varieties, which are part of the fundamental background for all who work in Algebraic Statistics.


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