Differential-geometrical methods in statistics by Amari S.

Differential-geometrical methods in statistics






Differential-geometrical methods in statistics Amari S. ebook
Page: 301
Format: djvu
Publisher: Springer
ISBN: 0387860662,


Complex differential geometry, Kahler manifolds and Hodge theory. Transcendental methods, topology of algebraic varieties. Random matrices and free probability. There were also two grad classes that presented integral transforms, calculus of variations, differential geometry, and generalized tensors. Differential-geometrical methods in statistics Amari S. Relations with Interacting particle systems. Differential-geometrical methods in statistics. Often it is useful to think of a family of probability distributions as a statistical manifold. The numerical methods that I studied followed the same track: linear algebra for solving large systems of equations and eigenvalues; numerical integration; evaluation of special functions. Download Differential-geometrical methods in statistics. Abelian varieties and p-divisible groups. High-dimensional data analysis. Information geometry aims to apply the techniques of differential geometry to statistics. I never took a formal course in I became aware of two schools of thought in statistics: frequentists and Bayesians.

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