Zobrazeno 1 - 10
of 131
pro vyhledávání: '"KRAINSKI, ELIAS"'
This paper introduces the R package INLAjoint, designed as a toolbox for fitting a diverse range of regression models addressing both longitudinal and survival outcomes. INLAjoint relies on the computational efficiency of the integrated nested Laplac
Externí odkaz:
http://arxiv.org/abs/2402.08335
Autor:
Sterrantino, Anna Freni, Rustand, Denis, van Niekerk, Janet, Krainski, Elias Teixeira, Rue, Håvard
In this work, we present a new approach for constructing models for correlation matrices with a user-defined graphical structure. The graphical structure makes correlation matrices interpretable and avoids the quadratic increase of parameters as a fu
Externí odkaz:
http://arxiv.org/abs/2312.06289
Performing a Bayesian inference on large spatio-temporal models requires extracting inverse elements of large sparse precision matrices for marginal variances. Although direct matrix factorizations can be used for the inversion, such methods fail to
Externí odkaz:
http://arxiv.org/abs/2309.05435
This paper aims to extend the Besag model, a widely used Bayesian spatial model in disease mapping, to a non-stationary spatial model for irregular lattice-type data. The goal is to improve the model's ability to capture complex spatial dependence pa
Externí odkaz:
http://arxiv.org/abs/2306.17236
Bayesian inference tasks continue to pose a computational challenge. This especially holds for spatial-temporal modeling where high-dimensional latent parameter spaces are ubiquitous. The methodology of integrated nested Laplace approximations (INLA)
Externí odkaz:
http://arxiv.org/abs/2303.15254
Autor:
Amaral, André Victor Ribeiro1 (AUTHOR) andre.ribeiroamaral@kaust.edu.sa, Krainski, Elias Teixeira1 (AUTHOR), Zhong, Ruiman1 (AUTHOR), Moraga, Paula1 (AUTHOR)
Publikováno v:
Journal of Agricultural, Biological & Environmental Statistics (JABES). Dec2024, Vol. 29 Issue 4, p766-792. 27p.
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the INLA and INLAjoint R-packages. Such models include accelerated failure t
Externí odkaz:
http://arxiv.org/abs/2212.01900
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
Externí odkaz:
http://arxiv.org/abs/2204.06797
Autor:
Rustand, Denis, van Niekerk, Janet, Krainski, Elias Teixeira, Rue, Håvard, Proust-Lima, Cécile
Modeling longitudinal and survival data jointly offers many advantages such as addressing measurement error and missing data in the longitudinal processes, understanding and quantifying the association between the longitudinal markers and the surviva
Externí odkaz:
http://arxiv.org/abs/2203.06256
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:
http://arxiv.org/abs/2202.06502