Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identifi
Bayesian non-parametric mixture models have found great success in the statistical practice of identifying latent clusters in data. However, fitting such models can be computationally intensive and of less practical use when it comes to tall datasets, suc
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Kerrie L. Mengersen Pierre Pudlo Christian P. Robert Editors
Case Studies in Applied Bayesian Data Science CIRM Jean-Morlet Chair, Fall 2018
Lecture Notes in Mathematics Editors-in-Chief: Jean-Michel Morel, Cachan Bernard Teissier, Paris Advisory Editors: Karin Baur, Leeds Michel Brion, Grenoble Camillo De Lellis, Princeton Alessio Figalli, Zurich Annette Huber, Freiburg Davar Khoshnevisan, Salt Lake City Ioannis Kontoyiannis, Cambridge Angela Kunoth, Cologne Ariane Mézard, Paris Mark Podolskij, Aarhus Sylvia Serfaty, New York Gabriele Vezzosi, Florence Anna Wienhard, Heidelberg
More information about this series at http://www.springer.com/series/304
2259
Kerrie L. Mengersen • Pierre Pudlo • Christian P. Robert Editors
Case Studies in Applied Bayesian Data Science CIRM Jean-Morlet Chair, Fall 2018
Editors Kerrie L. Mengersen Mathematical Sciences Queensland University of Technology Brisbane, QLD, Australia
Pierre Pudlo I2M, CNRS, Centrale Marseille Aix-Marseille University Marseille, France
Christian P. Robert CEREMADE Université Paris Dauphine Paris, France
ISSN 0075-8434 ISSN 1617-9692 (electronic) Lecture Notes in Mathematics ISBN 978-3-030-42552-4 ISBN 978-3-030-42553-1 (eBook) https://doi.org/10.1007/978-3-030-42553-1 Mathematics Subject Classification (2020): 62R07, 62F15, 60GXX, 62H30, 62P10, 62M40, 62G05, 60J10 Jointly published with Société Mathématique de France (SMF); sold and distributed to its members by the SMF, http://smf.emath.fr; ISBN SMF: 978-2-85629-914-2 © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Contents
Part I
Su
Data Loading...
