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Porcu, Emilio

Advances and Challenges in Space-time Modelling of Natural Events

Porcu, Emilio - Advances and Challenges in Space-time Modelling of Natural Events, ebook

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ISBN: 9783642170867
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Table of contents

1. Space-Time Processes and Geostatistics
Gema Fernández-Avilés, José-María Montero, Emilio Porcu, Martin Schlather

2. Construction of Covariance Functions and Unconditional Simulation of Random Fields
Martin Schlather

3. Geostatistics for Large Datasets
Ying Sun, Bo Li, Marc G. Genton

4. Bayesian Inference for Non-Markovian Point Processes
Peter Guttorp, Thordis L. Thorarinsdottir

5. A Review on Spatial Extreme Modelling
Jean-Noël Bacro, Carlo Gaetan

6. Relations Between Designs for Prediction and Estimation in Random Fields: An Illustrative Case
Werner G. Müller, Luc Pronzato, Helmut Waldl

7. Modeling Spatial and Spatio-Temporal Non Gaussian Processes
Denis Allard

8. Random Fields Arising in Chaotic Systems: Burgers Equation and Fractal Pseudodifferential Systems
Nikolai N. Leonenko, M. Dolores Ruiz-Medina

9. On Some Local, Global and Regularity Behaviour of Some Classes of Covariance Functions
Emilio Porcu, Michael L. Stein

10. Asymptotics and Computation for Spatial Statistics
Hao Zhang

Keywords: Statistics, Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Earth Sciences, general

Author(s)
 
 
Publisher
Springer
Publication year
2012
Language
en
Edition
2012
Series
Lecture Notes in Statistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783642170867

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