Statistical Modeling Using Bayesian Latent Gaussian Models
portes grátis
Statistical Modeling Using Bayesian Latent Gaussian Models
With Applications in Geophysics and Environmental Sciences
Hrafnkelsson, Birgir
Springer International Publishing AG
11/2024
251
Mole
9783031397936
15 a 20 dias
Descrição não disponível.
Preface.- Chapter 1. Birgir Hrafnkelsson and Haakon Bakka: Bayesian latent Gaussian models.- Chapter 2. Giri Gopalan, Andrew Zammit-Mangion, and Felicity McCormack: A review of Bayesian modelling in glaciology.- Chapter 3. Birgir Hrafnkelsson, Rafael Daniel Vias, Solvi Rognvaldsson, Axel Orn Jansson, and Sigurdur M. Gardarsson: Bayesian discharge rating curves based on the generalized power law.- Chapter 4. Sahar Rahpeyma, Milad Kowsari, Tim Sonnemann, Benedikt Halldorsson, and Birgir Hrafnkelsson: Bayesian modeling in engineering seismology: Ground-motion models.- Chapter 5. Atefe Darzi, Birgir Hrafnkelsson, and Benedikt Halldorsson: Bayesian modelling in engineering seismology: Spatial earthquake magnitude model.- Chapter 6. Joshua Lovegrove and Stefan Siegert: Improving numerical weather forecasts by Bayesian hierarchical modelling.- Chapter 7. Arnab Hazra, Raphael Huser, and Arni V. Johannesson: Bayesian latent Gaussian models for high-dimensional spatial extremes.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Bayesian hierarchical models;Statistical application in environmental sciences;Environmental sciences;Statistical modeling;Geophysics;Physical-statistical modeling;Gaussian processes;Posterior inference;Prior distributions;Sea-level rise;Spatial modeling of earthquake magnitudes;Climate change;Weather forecasting
Preface.- Chapter 1. Birgir Hrafnkelsson and Haakon Bakka: Bayesian latent Gaussian models.- Chapter 2. Giri Gopalan, Andrew Zammit-Mangion, and Felicity McCormack: A review of Bayesian modelling in glaciology.- Chapter 3. Birgir Hrafnkelsson, Rafael Daniel Vias, Solvi Rognvaldsson, Axel Orn Jansson, and Sigurdur M. Gardarsson: Bayesian discharge rating curves based on the generalized power law.- Chapter 4. Sahar Rahpeyma, Milad Kowsari, Tim Sonnemann, Benedikt Halldorsson, and Birgir Hrafnkelsson: Bayesian modeling in engineering seismology: Ground-motion models.- Chapter 5. Atefe Darzi, Birgir Hrafnkelsson, and Benedikt Halldorsson: Bayesian modelling in engineering seismology: Spatial earthquake magnitude model.- Chapter 6. Joshua Lovegrove and Stefan Siegert: Improving numerical weather forecasts by Bayesian hierarchical modelling.- Chapter 7. Arnab Hazra, Raphael Huser, and Arni V. Johannesson: Bayesian latent Gaussian models for high-dimensional spatial extremes.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Bayesian hierarchical models;Statistical application in environmental sciences;Environmental sciences;Statistical modeling;Geophysics;Physical-statistical modeling;Gaussian processes;Posterior inference;Prior distributions;Sea-level rise;Spatial modeling of earthquake magnitudes;Climate change;Weather forecasting
