Spatiotemporal Model for Short-Term Predictions of Air Pollution Data

Recently, the interest of many environmental agencies is on short-term air pollution predictions referred at high spatial resolution. This permits citizens and public health decision-makers to be informed with visual and easy access to air-quality assessm

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Ettore Lanzarone Francesca Ieva Editors

The Contribution of Young Researchers to Bayesian Statistics Proceedings of BAYSM2013

Springer Proceedings in Mathematics & Statistics Volume 63

For further volumes: http://www.springer.com/series/10533

Springer Proceedings in Mathematics & Statistics

This book series features volumes composed of select contributions from workshops and conferences in all areas of current research in mathematics and statistics, including OR and optimization. In addition to an overall evaluation of the interest, scientific quality, and timeliness of each proposal at the hands of the publisher, individual contributions are all refereed to the high quality standards of leading journals in the field. Thus, this series provides the research community with well-edited, authoritative reports on developments in the most exciting areas of mathematical and statistical research today.

Ettore Lanzarone • Francesca Ieva Editors

The Contribution of Young Researchers to Bayesian Statistics Proceedings of BAYSM2013

123

Editors Ettore Lanzarone CNR-IMATI Milan, Italy

Francesca Ieva Politecnico di Milano Milan, Italy

ISSN 2194-1009 ISSN 2194-1017 (electronic) ISBN 978-3-319-02083-9 ISBN 978-3-319-02084-6 (eBook) DOI 10.1007/978-3-319-02084-6 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2013954407 © Springer International Publishing Switzerland 2014 This work is subject to copyright. All rights are reserved 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The