LEADER 03686nam 22006735 450 001 9910299979403321 005 20250609111804.0 010 $a3-319-07779-1 024 7 $a10.1007/978-3-319-07779-6 035 $a(CKB)3710000000212212 035 $a(SSID)ssj0001296892 035 $a(PQKBManifestationID)11725855 035 $a(PQKBTitleCode)TC0001296892 035 $a(PQKBWorkID)11354591 035 $a(PQKB)10083007 035 $a(DE-He213)978-3-319-07779-6 035 $a(MiAaPQ)EBC6311352 035 $a(MiAaPQ)EBC5586381 035 $a(Au-PeEL)EBL5586381 035 $a(OCoLC)884782328 035 $a(PPN)179923080 035 $a(MiAaPQ)EBC1783076 035 $a(EXLCZ)993710000000212212 100 $a20140717d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGeometric Modeling in Probability and Statistics /$fby Ovidiu Calin, Constantin Udri?te 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XXIII, 375 p. 22 illus., 3 illus. in color.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-319-07778-3 327 $aPart I: The Geometry of Statistical Models -- Statistical Models -- Explicit Examples -- Entropy on Statistical Models -- Kullback?Leibler Relative Entropy -- Informational Energy -- Maximum Entropy Distributions -- Part II: Statistical Manifolds -- An Introduction to Manifolds -- Dualistic Structure -- Dual Volume Elements -- Dual Laplacians -- Contrast Functions Geometry -- Contrast Functions on Statistical Models -- Statistical Submanifolds -- Appendix A: Information Geometry Calculator. 330 $aThis book covers topics of Informational Geometry, a field which deals with the differential geometric study of the manifold probability density functions. This is a field that is increasingly attracting the interest of researchers from many different areas of science, including mathematics, statistics, geometry, computer science, signal processing, physics and neuroscience. It is the authors? hope that the present book will be a valuable reference for researchers and graduate students in one of the aforementioned fields. This textbook is a unified presentation of differential geometry and probability theory, and constitutes a text for a course directed at graduate or advanced undergraduate students interested in applications of differential geometry in probability and statistics. The book contains over 100 proposed exercises meant to help students deepen their understanding, and it is accompanied by software that is able to provide numerical computations of several information geometric objects. The reader will understand a flourishing field of mathematics in which very few books have been written so far. 606 $aProbabilities 606 $aGeometry 606 $aStatistics 606 $aProbability Theory 606 $aGeometry 606 $aStatistical Theory and Methods 615 0$aProbabilities. 615 0$aGeometry. 615 0$aStatistics. 615 14$aProbability Theory. 615 24$aGeometry. 615 24$aStatistical Theory and Methods. 676 $a519.5 700 $aCalin$b Ovidiu$4aut$4http://id.loc.gov/vocabulary/relators/aut$0471645 702 $aUdri?te$b Constantin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299979403321 996 $aGeometric Modeling in Probability and Statistics$92522981 997 $aUNINA