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An Introduction to Algebraic Statistics with Tensors

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Cover of 'An Introduction to Algebraic Statistics with Tensors'

Table of Contents

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    Book Overview
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    Chapter 1 Systems of Random Variables and Distributions
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    Chapter 2 Basic Statistics
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    Chapter 3 Statistical Models
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    Chapter 4 Complex Projective Algebraic Statistics
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    Chapter 5 Conditional Independence
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    Chapter 6 Tensors
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    Chapter 7 Symmetric Tensors
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    Chapter 8 Marginalization and Flattenings
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    Chapter 9 Elements of Projective Algebraic Geometry
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    Chapter 10 Projective Maps and the Chow’s Theorem
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    Chapter 11 Dimension Theory
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    Chapter 12 Secant Varieties
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    Chapter 13 Groebner Bases
Attention for Chapter 5: Conditional Independence
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