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Geometric Structures of Information

Overview of attention for book
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 6: Information Geometry in Portfolio Theory
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Citations

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Chapter title
Information Geometry in Portfolio Theory
Chapter number 6
Book title
Geometric Structures of Information
Published by
Springer, Cham, November 2018
DOI 10.1007/978-3-030-02520-5_6
Book ISBNs
978-3-03-002519-9, 978-3-03-002520-5
Authors

Ting-Kam Leonard Wong, Wong, Ting-Kam Leonard

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Lecturer 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%

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