Geometric Structures of Information. ([2019])

• Record Type: Book
• Further Information: Note: Frank Nielsen, editor.
• Editors: Nielsen, Frank
• Contents: Rho-Tau Embedding of Statistical Models.-A class of non-parametric deformed exponentialstatistical models.-Statistical Manifolds Admitting Torsion andPartially Flat Spaces.-Conformalattening on the probability simplexand its applications toVoronoi partitions and centroidsAtsumi Ohara.-Monte Carlo Information-Geometric Structures.-Information geometry in portfolio theory.-Generalising Frailty Assumptions in SurvivalAnalysis: a Geometric Approach.-Some Universal Insights on Divergences forStatistics, Machine Learning and ArticialIntelligence.-Information-Theoretic MatrixInequalities and Diusion Processes onUnimodular Lie Groups.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 519.5; Geometrical models in statistics; Information theory in mathematics; Geometry, Differential; Data structures (Computer science); MATHEMATICS / Applied; MATHEMATICS / Probability & Statistics / General; MATHEMATICS / Geometry / Differential; Data structures (Computer science); Geometrical models in statistics; Geometry, Differential; Information theory in mathematics; Electronic books
• Languages: English
• ISBNs: 9783030025205; 3030025209
• Related ISBNs: 9783030025199; 3030025195
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (EBSCO, viewed November 30, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.