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Spatial prediction and mapping temperature: Classical kriging and INLA - Tapa blanda

Serra, Laura; Juan, Pablo; Varga, Diego

 
9783330075719: Spatial prediction and mapping temperature: Classical kriging and INLA
Tapa blanda
ISBN 10: 3330075716 ISBN 13: 9783330075719
Editorial: LAP LAMBERT Academic Publishing, 2017

Sinopsis

Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA).

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA).

Biografía del autor

Laura Serra Saurina degree in Mathematics and Master in Mathematics for Financial Instruments from the Universitat Autònoma de Barcelona (UAB) and holds a PhD in Statistics from the University of Girona (UdG). She is currently a researcher at the Center for Health Research (CISAL) and professor of epidemiology and biostatistics methods at the UPF.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3330075716
ISBN 13 
9783330075719
Encuadernación
Tapa blanda
Número de páginas
52
Contacto del fabricante
no disponible
Persona responsable
no disponible