Téléchargez le livre : Case Studies in Applied Bayesian Data Science

Case Studies in Applied Bayesian Data Science

CIRM Jean-Morlet Chair, Fall 2018

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Éditeur :

Springer


Collection :

Lecture Notes in Mathematics

Paru le : 2020-05-28



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Description

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor.
The field of Bayesian statistics has exploded over the past thirty years and is now an established field of research in mathematical statistics and computer science, a key component of data science, and an underpinning methodology in many domains of science, business and social science. Moreover, while remaining naturally entwined, the three arms of Bayesian statistics, namely modelling, computation and inference, have grown into independent research fields. While the research arms of Bayesian statistics continue to grow in many directions, they are harnessed when attention turns to solving substantive applied problems. Each such problem set has its own challenges and hence draws from the suite of research a bespoke solution.
The book will be useful for both theoretical and applied statisticians, as well as practitioners, to inspect these solutions in the context of the problems, in order to draw further understanding, awareness and inspiration. 
Pages
420 pages
Collection
Lecture Notes in Mathematics
Parution
2020-05-28
Marque
Springer
EAN papier
9783030425524
EAN PDF
9783030425531
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
16138 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
58,01 €
EAN EPUB
9783030425531
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
83241 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
58,01 €

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