Titre : | Spatial statistics and computational methods | Type de document : | texte imprimé | Auteurs : | Jesper MØLLER, Editeur scientifique | Editeur : | Springer Verlag | Année de publication : | Cop. 2003 | Collection : | Lecture notes in statistics num. 173 | Importance : | XIV-202 p. | ISBN/ISSN/EAN : | 978-0-387-00136-4 | Langues : | Anglais | Mots-clés : | méthode statistique analyse spatiale méthode computationnelle | Résumé : | This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It consists of four chapters: 1. Petros Dellaportas and Gareth O. Roberts give a tutorial on MCMC methods, the computational methodology which is essential for virtually all the complex spatial models to be considered in subsequent chapters. 2. Peter J. Diggle, Paulo J, Ribeiro Jr., and Ole F. Christensen introduce the reader to the model- based approach to geostatistics, i.e. the application of general statistical principles to the formulation of explicit stochastic models for geostatistical data, and to inference within a declared class of models. 3. Merrilee A. Hurn, Oddvar K. Husby, and H?vard Rue discuss various aspects of image analysis, ranging from low to high level tasks, and illustrated with different examples of applications. 4. Jesper Moller and Rasmus P. Waggepetersen collect recent theoretical advances in simulation-based inference for spatial point processes, and discuss some examples of applications. | Note de contenu : | index, bibliogr. |
Spatial statistics and computational methods [texte imprimé] / Jesper MØLLER, Editeur scientifique . - [S.l.] : Springer Verlag, Cop. 2003 . - XIV-202 p.. - ( Lecture notes in statistics; 173) . ISBN : 978-0-387-00136-4 Langues : Anglais Mots-clés : | méthode statistique analyse spatiale méthode computationnelle | Résumé : | This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It consists of four chapters: 1. Petros Dellaportas and Gareth O. Roberts give a tutorial on MCMC methods, the computational methodology which is essential for virtually all the complex spatial models to be considered in subsequent chapters. 2. Peter J. Diggle, Paulo J, Ribeiro Jr., and Ole F. Christensen introduce the reader to the model- based approach to geostatistics, i.e. the application of general statistical principles to the formulation of explicit stochastic models for geostatistical data, and to inference within a declared class of models. 3. Merrilee A. Hurn, Oddvar K. Husby, and H?vard Rue discuss various aspects of image analysis, ranging from low to high level tasks, and illustrated with different examples of applications. 4. Jesper Moller and Rasmus P. Waggepetersen collect recent theoretical advances in simulation-based inference for spatial point processes, and discuss some examples of applications. | Note de contenu : | index, bibliogr. |
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