Virgilio Gómez-Rubio – författare
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11 produkter
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Av Elias Krainski, Virgilio Gómez-Rubio m. fl.
Häftad, 2020
806 kr
Lägg i varukorg
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …
Applied Spatial Data Analysis with R
Av Virgilio Gomez-Rubio, Edzer J. Pebesma m. fl.
E-bok, 2008
929 kr
Lägg i varukorg
We began writing this book in parallel with developing software for handling and analysing spatial data withR (R Development Core Team, 2008). - though the book is now complete, software development will continue, in the R community fashion, of rich and satisfying interaction with users around the …
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Av Havard Rue, Finn Lindgren m. fl.
E-bok, 2018
953 kr
Lägg i varukorg
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Av Havard Rue, Finn Lindgren m. fl.
E-bok, 2018
953 kr
Lägg i varukorg
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …
Bayesian inference with INLA
Häftad, 2021
818 kr
Lägg i varukorg
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. INLA focuses on marginal inference on the model parameters of latent Gaussian Markov random fields …
Bayesian inference with INLA
Inbunden, 2020
2200 kr
Lägg i varukorg
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. INLA focuses on marginal inference on the model parameters of latent Gaussian Markov random fields …
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Av Elias Krainski, Virgilio Gómez-Rubio m. fl.
Inbunden, 2018
2136 kr
Lägg i varukorg
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for …
Bayesian inference with INLA
E-bok, 2020
750 kr
Lägg i varukorg
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. INLA focuses on marginal inference on the model parameters of latent Gaussian Markov random fields …
Bayesian inference with INLA
E-bok, 2020
750 kr
Lägg i varukorg
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. INLA focuses on marginal inference on the model parameters of latent Gaussian Markov random fields …
Applied Spatial Data Analysis with R
Av Roger S. Bivand, Edzer Pebesma m. fl.
Häftad, 2013
987 kr
Lägg i varukorg
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file …
Applied Spatial Data Analysis with R
Av Virgilio Gomez-Rubio, Edzer Pebesma m. fl.
E-bok, 2013
1268 kr
Lägg i varukorg
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file …
