Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Name: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Brand: Taylor & Francis Ltd
SKU: 9780367570644
Price: 9900 KES
Availability: OutOfStock
ISBN: 9780367570644

by Elias Krainski , Haakon Bakka , Virgilio Gómez-Rubio

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

Product Classification: Probability & statistics Probability and statistics Human geography Environmental science, engineering & technology Environmental science, engineering and technology Mathematical & statistical software Mathematical and statistical software

KSh 9,900.00

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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

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