Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Book Details
Format
Paperback / Softback
ISBN-10
0367570645
ISBN-13
9780367570644
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 30th, 2020
Print length
284 Pages
Weight
452 grams
Dimensions
15.50 x 23.40 x 1.90 cms
Ksh 9,900.00
Werezi Extended Catalogue
0 in stock
Delivery Location
Delivery fee: Select location
Secure
Quality
Fast
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
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
Get Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages.
