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020 _a9783030025205
024 7 _a10.1007/978-3-030-02520-5
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA276.23
_b2019 EB
245 0 0 _aGeometric Structures of Information
_cedited by Frank Nielsen.
264 1 _aCham
_bImprint: Springer
_c2019
300 _a1 recurso en línea (VIII, 392 páginas)
_b49 ilustraciones, 36 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
490 0 _aSignals and Communication Technology
_x1860-4862
505 0 _aRho-Tau Embedding of Statistical Models -- A class of non-parametric deformed exponential statistical models -- Statistical Manifolds Admitting Torsion and Partially Flat Spaces -- Conformal attening on the probability simplex and its applications to Voronoi partitions and centroids Atsumi Ohara -- Monte Carlo Information-Geometric Structures -- Information geometry in portfolio theory -- Generalising Frailty Assumptions in Survival Analysis: a Geometric Approach -- Some Universal Insights on Divergences for Statistics, Machine Learning and Articial Intelligence -- Information-Theoretic Matrix Inequalities and Diusion Processes on Unimodular Lie Groups.
520 3 _aThis book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: information science, mathematics and physics. It addresses interrelations between different mathematical domains like shape spaces, probability/optimization & algorithms on manifolds, relational and discrete metric spaces, computational and Hessian information geometry, algebraic/infinite dimensional/Banach information manifolds, divergence geometry, tensor-valued morphology, optimal transport theory, manifold & topology learning, and applications like geometries of audio-processing, inverse problems and signal processing.The book collects the most important contributions to the conference GSI'2017 - Geometric Science of Information.
988 _aPrimersemestre_2019_Engineering
650 7 _2embne
_aEstadística matemática
_9138936
650 7 _2embne
_aCodificación, Teoría de la
_9666753
650 7 _2embne
_aEstructuras de datos (Informática)
_9151535
700 1 _aNielsen, Frank.
_eeditor literario
_0(orcid)0000-0001-5728-0726
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_997278
776 0 8 _iPrinted edition:
_z9783030025199
776 0 8 _iPrinted edition:
_z9783030025212
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-02520-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_ek
_zSI