Advances and Challenges in Space-time Modelling of Natural Events [Paperback]

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.

Introduction to the Book: Space-Time Random Fields by J.M. Montero, E. Porcu, M. Schlather and G. Fern?ndez-Avil?s.- Random Fields Defined on Hilbert Spaces by Hao Zhang.- Some Problems Relating Isotropic Covariance Functions by Michael L. Stein and Emilio Porcu.- Multivariate Random Fields and Robustness in Spatial Statistics by Marc G. Genton.- Spatial and Space-Time Extreme Value Theory for Random Fields by Martin Schlather.- Space-Time Second Order Properties of Random Fields by Emilio Porcu, J.Maria Montero and Gema Fern?ndez-Avil?s.- Gaussian Markov Random Fields by Finn Lindgren.- A Journey through non Gaussian Random Fields by Denis Allard.- Space-Time Design for Gaussian Random Fields by Werner M?ller.- Simulation of Stochastic Processes and Inference by Maria Dolores Ruiz Medina.- Space Time Point Processes by Thordis Thorarinsdottir.

Michael Stein is a Professor at the University of Chicagos Department of Statistics. His research interests center on statistical methodology and probability theory, with applications in atmospheric, environmental and geophysical sciences, and on economics, among other disciplines.

Martin Schlather is a Professor at the Institut f?r Mathematische Stochastik, University of G?ttingen, Germany. He has worked on extreme value theory of random fields, random sets and space-time covaril†