Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Lenzi, Amanda; Simpson, Daniel; Gomez-Rubio, Virgilio; Lindgren, Finn; Rue, Havard; Krainski, Elias; Bakka, Haakon; Castro-Camilo, Daniela
Taylor & Francis Ltd
12/2018
298
Dura
Inglês
9781138369856
15 a 20 dias
635
Descrição não disponível.
1. The Integrated Nested Laplace Approximation. 2. Continuous spatial processes. 3. Non-Gaussian observations and covariates in the covariance. 4. Manipulating the random field and more than one likelihood. 5. Log-Cox point process and preferential sampling. 6. Space-time models. 7. Space-time models with different meshes.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Model Hyperparameters;Package INLA;INLA;Posterior Marginal Distributions;integrated nested Laplace Approximation;Posterior Distribution;Spatial processes;Random Field;space-time models;Linear Predictor;spatial statistics;Mesh Nodes;preferential sampling;Precision Matrix;Matern covariance;Gaussian Observations;R;Data Stack;spatio-temporal model;Posterior Marginal;SPDE;Function Inla;D0101 D0102 D0103 D0104 D0105;Cox Proportional Hazard Survival Model;Log Gaussian Cox Process;Marginal Log Likelihood;Point Pattern;GEV Distribution;Gamma Observations;Cox Process;INLA Method;Barrier Model;Smoothness Parameter;Simulated Point Pattern
1. The Integrated Nested Laplace Approximation. 2. Continuous spatial processes. 3. Non-Gaussian observations and covariates in the covariance. 4. Manipulating the random field and more than one likelihood. 5. Log-Cox point process and preferential sampling. 6. Space-time models. 7. Space-time models with different meshes.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Model Hyperparameters;Package INLA;INLA;Posterior Marginal Distributions;integrated nested Laplace Approximation;Posterior Distribution;Spatial processes;Random Field;space-time models;Linear Predictor;spatial statistics;Mesh Nodes;preferential sampling;Precision Matrix;Matern covariance;Gaussian Observations;R;Data Stack;spatio-temporal model;Posterior Marginal;SPDE;Function Inla;D0101 D0102 D0103 D0104 D0105;Cox Proportional Hazard Survival Model;Log Gaussian Cox Process;Marginal Log Likelihood;Point Pattern;GEV Distribution;Gamma Observations;Cox Process;INLA Method;Barrier Model;Smoothness Parameter;Simulated Point Pattern
