An Invitation to Statistics in Wasserstein Space
Dublin Core
Title
An Invitation to Statistics in Wasserstein Space
Subject
Probability & statistics
Description
This 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).
Creator
Panaretos, Victor M.
Zemel, Yoav
Zemel, Yoav
Source
https://library.oapen.org/bitstream/handle/20.500.12657/37704/2020_Book_AnInvitationToStatisticsInWass.pdf?sequence=1
Publisher
Springer Nature
Date
2020
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Panaretos, Victor M.
Zemel, Yoav, “An Invitation to Statistics in Wasserstein Space,” Open Educational Resource (OER) - USK Library, accessed October 13, 2024, http://uilis.usk.ac.id/oer/items/show/7625.