Results 31 to 40 of about 21,991 (210)
Spatial and spatio-temporal models with R-INLA [PDF]
During the last three decades, Bayesian methods have developed greatly in the field of epidemiology. Their main challenge focusses around computation, but the advent of Markov Chain Monte Carlo methods (MCMC) and in particular of the WinBUGS software has opened the doors of Bayesian modelling to the wide research community. However model complexity and
Blangiardo, Marta +3 more
openaire +4 more sources
Spatio-temporal data fusion for the analysis of in situ and remote sensing data using the INLA-SPDE approach [PDF]
We propose a Bayesian hierarchical model to address the challenge of spatial misalignment in spatio-temporal data obtained from in situ and satellite sources. The model is fit using the INLA-SPDE approach, which provides efficient computation.
Shiyu He, Samuel W.K. Wong
semanticscholar +1 more source
Background National prevalence could mask subnational heterogeneity in disease occurrence, and disease mapping is an important tool to illustrate the spatial pattern of disease. However, there is limited information on techniques for the specification of
Maria Safura Mohamad +2 more
semanticscholar +1 more source
We report a study of the interaction between internalin A (inlA) and human or murine E-cadherin (Ecad). inlA is used by Listeria monocytogenes to internalize itself into host cell, but the bacterium is unable to invade murine cells, which has been ...
Samuel Genheden, Leif A Eriksson
doaj +1 more source
Bayesian Model Averaging with the Integrated Nested Laplace Approximation
The integrated nested Laplace approximation (INLA) for Bayesian inference is an efficient approach to estimate the posterior marginal distributions of the parameters and latent effects of Bayesian hierarchical models that can be expressed as latent ...
Virgilio Gómez-Rubio +2 more
doaj +1 more source
Laplace approximation for conditional autoregressive models for spatial data of diseases
Conditional autoregressive (CAR) distributions are used to account for spatial autocorrelation in small areal or lattice data to assess the spatial risks of diseases.
Guiming Wang
doaj +1 more source
This study aimed to explore the spatio-temporal distribution characteristics and risk factors of hepatitis B (HB) in 14 prefectures of Xinjiang, China, and to provide a relevant reference basis for the prevention and treatment of HB.
Yijia Wang +5 more
semanticscholar +1 more source
Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach [PDF]
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 ...
Zhongwei Zhang +4 more
semanticscholar +1 more source
Background Internalins are surface proteins that are utilized by Listeria monocytogenes to facilitate its invasion into human intestinal epithelial cells. The expression of a full-length InlA is one of essential virulence factors for L.
Xudong Su +9 more
doaj +1 more source
Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia +4 more
doaj +1 more source

