Quantitative Methods in Environmental and Climate Research - Couverture rigide

Couverture rigide

ISBN 10 : 3030015831 ISBN 13 : 9783030015831

Editeur : Springer Nature Switzerland AG, 2018

Synopsis

1 Fast Bayesian classification for disease mapping and the detection of disease clusters.- 2 A Novel Hierarchical Multinomial Approach to Modelling Age-specific Harvest Data.- 3 Detection of change points in spatiotemporal data in presence of outliers and heavy-tailed observations.- 4 Modelling spatiotemporal mismatch for Aerosol profiles.- 5 A SPATIOTEMPORAL APPROACH FOR PREDICTING WIND SPEED ALONG THE COAST OF VALPARAISO, CHILE.- 6 Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998-2016.- 7 A hidden Markov random field with copula-based emission distributions for the analysis of spatial cylindrical data.

A propos du livre

À propos de l?auteur

Michela Cameletti is an Associate Professor of Statistics at the Department of Management, Economics and Quantitative Methods, University of Bergamo, Italy. Her research interests include spatial and spatio-temporal models for environmental applications and computational methods for Bayesian inference.

Francesco Finazzi is researcher in Statistics at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. His research interests include spatio-temporal models, sensor networks and scientific software.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 3030015831
• ISBN 13: 9783030015831
• Reliure: Relié
• Nombre de pages: 143
• Éditeur: Cameletti Michela, Finazzi Francesco
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne