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Publikováno v:
Computational Statistics & Data Analysis. 181:107692
Integrated Nested Laplace Approximations (INLA) has been a successful approximate Bayesian inference framework since its proposal by Rue et al. (2009). The increased computational efficiency and accuracy when compared with sampling-based methods for
This paper describes the methodology used by the team RedSea in the data competition organized for EVA 2021 conference. We develop a novel two-part model to jointly describe the wildfire count data and burnt area data provided by the competition orga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c9bb1d4b3b71f6ffb8c895924e5472
http://arxiv.org/abs/2202.06502
http://arxiv.org/abs/2202.06502
Autor:
Elias Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren, Håvard Rue
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic part