Vous voulez être sûr que vos cadeaux seront sous le sapin de Noël à temps? Nos magasins vous accueillent à bras ouverts. La plupart de nos magasins sont ouverts également les dimanches, vous pouvez vérifier les heures d'ouvertures sur notre site.
- Retrait gratuit dans votre magasin Club
- 7.000.000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
Vous voulez être sûr que vos cadeaux seront sous le sapin de Noël à temps? Nos magasins vous accueillent à bras ouverts. La plupart de nos magasins sont ouverts également les dimanches, vous pouvez vérifier les heures d'ouvertures sur notre site.
- Retrait gratuit dans votre magasin Club
- 7.000.0000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
An Invitation to Statistics in Wasserstein Space
Victor M Panaretos, Yoav Zemel
Livre broché | Anglais
47,95 €
+ 95 points
Format
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). 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 158
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9781013277344
- Date de parution :
- 09-10-20
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 216 mm x 280 mm
- Poids :
- 381 g
