Statistical Modeling Using Bayesian Latent Gaussian Models is popular PDF and ePub book, written by Birgir Hrafnkelsson in 2023-12-10, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Statistical Modeling Using Bayesian Latent Gaussian Models can be Read Online from any device for your convenience.
Statistical Modeling Using Bayesian Latent Gaussian Models Book PDF Summary
This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models. The structure of these models is described in a thorough introductory chapter, which explains how to construct prior densities for the model parameters, how to infer the parameters using Bayesian computation, and how to use the models to make predictions. The remaining six chapters focus on the application of Bayesian latent Gaussian models to real examples in glaciology, hydrology, engineering seismology, seismology, meteorology and climatology. These examples include: spatial predictions of surface mass balance; the estimation of Antarctica’s contribution to sea-level rise; the estimation of rating curves for the projection of water level to discharge; ground motion models for strong motion; spatial modeling of earthquake magnitudes; weather forecasting based on numerical model forecasts; and extreme value analysis of precipitation on a high-dimensional grid. The book is aimed at graduate students and experts in statistics, geophysics, environmental sciences, engineering, and related fields.
Detail Book of Statistical Modeling Using Bayesian Latent Gaussian Models PDF
- Author : Birgir Hrafnkelsson
- Release : 10 December 2023
- Publisher : Springer Nature
- ISBN : 9783031397912
- Genre : Mathematics
- Total Page : 256 pages
- Language : English
- PDF File Size : 17,7 Mb
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