Curso breve: A New Avenue in Bayesian Modeling using INLA

O Centro de Estatística e Aplicaçoes da Universidade de Lisboa (CEAUL) organiza o seguinte curso do 26 ao 27 de maio do 2022.

  • Título: A New Avenue in Bayesian Modeling using INLA
  • Datas: xoves 26 e venres 27 de maio de 2022.
  • Ponentes: Prof. Håvard Rue and Dr. Janet van Niekerk, Elias Krainski, and Denis Rustand KAUST - King Abdullah University of Science and Technology
  • Sede: Faculty of Science, Universidade de Lisboa, Portugal

Obxectivos do curso: The main purpose of this course is to present new recent developments in integrated nested Laplace approximation (INLA) that is a method for approximate Bayesian inference. Although the INLA methodology focuses on models that can be expressed as latent Gaussian Markov random fields (GMRF), this encompasses a large family of models that are used in practice. INLA has been established as an alternative to other methods such as Markov chain Monte Carlo because of its speed and ease of use via the R-INLA package (https://www.r-inla.org/). The lectures would include sections of presentations of the new results and practical sections with coding to illustrate the results for considering some applications.

Para máis información sobre o curso e a inscrición, accede a ligazón https://inlashortcourse.weebly.com/ o póñase en contacto con Vera Pinto no correo Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.

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