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dc.contributor.authorPanaretos, Victor M.
dc.contributor.authorZemel, Yoav
dc.date.accessioned2021-02-10T14:43:33Z
dc.date.available2021-02-10T14:43:33Z
dc.date.issued2020
dc.identifierONIX_20200513_9783030384388_4
dc.identifier45330*
dc.identifierhttp://library.oapen.org/handle/20.500.12657/37704
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/37237
dc.description.abstractThis open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Further to reviewing state-of-the-art aspects, it also provides an accessible introduction to the fundamentals of this current topic, as well as an overview that will serve as an invitation and catalyst for further research. Statistics in Wasserstein spaces represents an emerging topic in mathematical statistics, situated at the interface between functional data analysis (where the data are functions, thus lying in infinite dimensional Hilbert space) and non-Euclidean statistics (where the data satisfy nonlinear constraints, thus lying on non-Euclidean manifolds). The Wasserstein space provides the natural mathematical formalism to describe data collections that are best modeled as random measures on Euclidean space (e.g. images and point processes). Such random measures carry the infinite dimensional traits of functional data, but are intrinsically nonlinear due to positivity and integrability restrictions. Indeed, their dominating statistical variation arises through random deformations of an underlying template, a theme that is pursued in depth in this monograph. ; Gives a succinct introduction to necessary mathematical background, focusing on the results useful for statistics from an otherwise vast mathematical literature. Presents an up to date overview of the state of the art, including some original results, and discusses open problems. Suitable for self-study or to be used as a graduate level course text. Open access.
dc.languageEnglish
dc.relation.ispartofseriesSpringerBriefs in Probability and Mathematical Statistics
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PB Mathematics::PBT Probability & statistics
dc.subject.otherProbability Theory and Stochastic Processes
dc.subject.otherOptimal Transportation
dc.subject.otherMonge-Kantorovich Problem
dc.subject.otherBarycenter
dc.subject.otherMultimarginal Transport
dc.subject.otherFunctional Data Analysis
dc.subject.otherPoint Processes
dc.subject.otherRandom Measures
dc.subject.otherManifold Statistics
dc.subject.otherOpen Access
dc.subject.otherGeometrical statistics
dc.subject.otherWasserstein metric
dc.subject.otherFréchet mean
dc.subject.otherProcrustes analysis
dc.subject.otherPhase variation
dc.subject.otherGradient descent
dc.subject.otherProbability & statistics
dc.subject.otherStochastics
dc.titleAn Invitation to Statistics in Wasserstein Space
dc.typebook
oapen.identifier.doi10.1007/978-3-030-38438-8
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.imprintSpringer
oapen.pages147
oapen.place.publicationCham
dc.dateSubmitted2020-05-13T14:21:04Z


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