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Geometric Structures of Information

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Cover of 'Geometric Structures of Information'

Table of Contents

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    Book Overview
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    Chapter 1 Rho-Tau Embedding of Statistical Models
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    Chapter 2 A Class of Non-parametric Deformed Exponential Statistical Models
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    Chapter 3 Statistical Manifolds Admitting Torsion and Partially Flat Spaces
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    Chapter 4 Conformal Flattening on the Probability Simplex and Its Applications to Voronoi Partitions and Centroids
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    Chapter 5 Monte Carlo Information-Geometric Structures
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    Chapter 6 Information Geometry in Portfolio Theory
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    Chapter 7 Generalising Frailty Assumptions in Survival Analysis: A Geometric Approach
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    Chapter 8 Some Universal Insights on Divergences for Statistics, Machine Learning and Artificial Intelligence
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    Chapter 9 Information-Theoretic Matrix Inequalities and Diffusion Processes on Unimodular Lie Groups
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    Chapter 10 Warped Riemannian Metrics for Location-Scale Models
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    Chapter 11 Clustering in Hilbert’s Projective Geometry: The Case Studies of the Probability Simplex and the Elliptope of Correlation Matrices
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    Chapter 12 Jean-Louis Koszul and the Elementary Structures of Information Geometry
Attention for Chapter 2: A Class of Non-parametric Deformed Exponential Statistical Models
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