Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the
KRAINSKI, ELIAS,GOMEZ-RUBIO, VIRGILIO,BAKKA, HAAKON,LENZI, AMANDA,CASTRO-CAMILO, DANIELA,SIMPSON, DANIEL,LINDGREN, FINN,RUE, HAVARD
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the
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9781138369856Mladinska knjiga ID
9781138369856Leto izida
2018Datum izida
19.12.2018Število strani
298Status dobavljivosti
7-10 delovnih dniZaložnik
Taylor & Francis LtdAvtor
Krainski, Elias,Gomez-Rubio, Virgilio,Bakka, Haakon,Lenzi, Amanda,Castro-Camilo, Daniela,Simpson, Daniel,Lindgren, Finn,Rue, HavardDimenzije
160 x 240 x 22BIC
PBT,RGC,TQ,UFMOpis
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice.Pogosto kupljeno skupaj
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