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• Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise
Log-Sum-Exp Inequalities by Frank Nielsen and Ke Sun
• A Sequence of Escort Distributions and Generalizations of Expectations on q-Exponential Family
by Hiroshi Matsuzoe
• The Information Geometry of Sparse Goodness-of-Fit Testing by Paul Marriott, Radka Sabolová,
Germain Van Bever and Frank Critchley
Chapter IV : Density of Probability on manifold and metric space
The fourth Chapter proposes new approaches to estimate parametric and non-parametric
probabilities densities for structured covariance matrices (Toeplitz and Block-Toeplitz Hermitian
Positive Definite Matrix, Symmetric Positive Definite Matrix).
• Kernel Density Estimation on the Siegel Space with an Application to Radar Processing by
Emmanuel Chevallier, Thibault Forget, Frédéric Barbaresco and Jesus Angulo
• Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices by
Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun and Yannick Berthoumieu
Chapter V: Statistics on Paths and on Riemannian Manifolds
The fifth chapter describes new methods to introduce statistical tools for paths and for data on
Riemannian manifolds, with the following three contributions:
• Entropy Minimizing Curves with Application to Flight Path Design and Clustering by Stéphane
Puechmorel and Florence Nicol
• Anisotropically Weighted and Nonholonomically Constrained Evolutions on Manifolds by
Stefan Sommer
• Non-Asymptotic Confidence Sets for Circular Means by Thomas Hotz, Florian Kelma and
Johannes Wieditz
Chapter VI: Entropy and Complexity in Linguistic
The sixth chapter concludes this edited book with new perspectives for defining topological
structures, entropy and complexity in linguistics with the following contribution:
• Syntactic Parameters and a Coding Theory Perspective on Entropy and Complexity of Language
Families by Matilde Marcolli
Frédéric Barbaresco and Frank Nielsen
Guest Editors
References
1. BARBARESCO, F. & DJAFARI, A., ”Information, Entropy and Their Geometric Structures”, MDPI
Entropy, September 2015; http://www.mdpi.com/books/pdfview/book/127
2. BAYES, Th., «An essay towards solving a problem in the doctrine of chance», Philosophical
Transactions of the Royal Society of London, 53 (1763), trad. J.-P. Cléro, Cahiers d'histoire et de
philosophie des sciences, n° 18, 1988.
3. BERNOULLI, J., Ars conjectandi (1713), die Werke von Jakob Bernoulli, 3 vols., Basel, 1969-1975.
4. BYRNE, E., Probability and Opinion: A Study in the Medieval Pre-suppositions of Post-Medieval
Theories of probability, La Haye, Martinus Nijhoff, 1968.
5. CARDANO, De ludo aleae (ca. 1520), Opera Omnia, 10 vols., Stuttgart, 1966.
Differential Geometrical Theory of Statistics
- Titel
- Differential Geometrical Theory of Statistics
- Autoren
- Frédéric Barbaresco
- Frank Nielsen
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 476
- Schlagwörter
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Kategorien
- Naturwissenschaften Physik