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

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

av Elias (Universidade Federal do Parana Krainski
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA av Elias (Universidade Federal do Parana Krainski
Om 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 R-INLA package for the R statistical software provides a way to fit such models in practice.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781138369856
  • Format:
  • Inbunden
  • Sidor:
  • 298
  • Utgiven:
  • 19 December 2018
  • Mått:
  • 240x160x22 mm.
  • Vikt:
  • 650 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 10 Oktober 2024

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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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