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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla|Elias Krainski

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

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Overview

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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Details

  • ISBN-13: 9780367570644
  • ISBN-10: 0367570645
  • Publisher: CRC Press
  • Publish Date: June 2020
  • Dimensions: 9.1 x 5.9 x 0.7 inches
  • Shipping Weight: 1.05 pounds
  • Page Count: 284

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