Advances and Challenges in Space-time Modelling of Natural Events

  • Emilio Porcu
  • José–María Montero
  • Martin Schlather

Part of the Lecture Notes in Statistics book series (LNS, volume 207)

Also part of the Lecture Notes in Statistics - Proceedings book sub series (LNSP, volume 207)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Gema Fernández-Avilés, José-María Montero, Emilio Porcu, Martin Schlather
    Pages 1-23
  3. Ying Sun, Bo Li, Marc G. Genton
    Pages 55-77
  4. Peter Guttorp, Thordis L. Thorarinsdottir
    Pages 79-102
  5. Jean-Noël Bacro, Carlo Gaetan
    Pages 103-124

About these proceedings

Introduction

This book arises as the natural continuation of the International Spring School "Advances and Challenges in Space-Time modelling of Natural Events," which took place in Toledo (Spain) in March 2010. This Spring School above all focused on young researchers (Master students, PhD students and post-doctoral researchers) in academics, extra-university research and the industry who are interested in learning about recent developments, new methods and applications in spatial statistics and related areas, and in exchanging ideas and findings with colleagues.

Keywords

Extreme Value Theory Geostatistics Markov Random Fields Point Processes Spatial design

Editors and affiliations

  • Emilio Porcu
    • 1
  • José–María Montero
    • 2
  • Martin Schlather
    • 3
  1. 1.Facultad de Derecho y Ciencias Sociales, Área de EstadísticaUniversidad de Castilla la ManchaCiudad RealSpain
  2. 2., StatisticsUniversidad de Castilla la ManchaToledoSpain
  3. 3., Mathematics StochasticsUniversität GöttingenGöttingenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-17086-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-17085-0
  • Online ISBN 978-3-642-17086-7
  • Series Print ISSN 0930-0325
  • About this book