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PART I: Algebraic Statistics
1 Systems of Random Variables and Distributions
2 Basic Statistics
3 Statistical models
4 Complex projective algebraic statistics
5 Conditional independence
PART II: Multilinear Algebra
6 Tensors
7 Symmetric tensors
8 Marginalisation and attenings
PART III: Commutative Algebra and Algebraic Geometry
9 Elements of Projective Algebraic Geometry
10 Projective maps and the Chow's Theorem
11 Dimension Theory
12 Secant varieties
13 Groebner bases.

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