Results 11 to 20 of about 3,995 (142)
Mathematics, 2023 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
Research Communication: Changing Aetiology of Chronic Liver Diseases in East Asia Pacific and HCC Surveillance in Non-Cirrhotic Patients. [PDF]
Aliment Pharmacol TherEast Asia Pacific faces a rising CLD burden, with MASLD projected to account for 80% of CLD prevalence by 2040. HCC surveillance in non‐cirrhotic patients is cost‐effective only in select older age groups. Wide variation in thresholds across countries highlights the need for updated guidelines and risk‐based surveillance strategies.
Liu M, Liu C, Mok TN, Qi X, Ming WK.
europepmc +2 more sources
International Journal of Hydrological and Environmental for Sustainability, 2023 Bayesian Spatial Modeling Using Integrated Nested Laplace Approximation (INLA) is an advanced statistical technique that can be used to model and analyze occurrences in geographic areas. Landslides are one of natural disasters that occur due to natural and human factors and pose a serious threat to East Java Province which has complex natural ...
Salman Alfarisi +5 more
openaire +1 more source
Bayesian Model Averaging with the Integrated Nested Laplace Approximation
Econometrics, 2020 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
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) [PDF]
The Annals of Applied Statistics, 2012 Published in at http://dx.doi.org/10.1214/11-AOAS530 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Illian, Janine B. +2 more
openaire +6 more sources
Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. [PDF]
PLoS ONE, 2018 Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence city from Colombia, and its ...
Aritz Adin +3 more
doaj +1 more source
Mathematics, 2021 In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing them with the widely used Besag ...
Mabel Morales-Otero +1 more
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INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes [PDF]
, 2012 We investigate two options for performing Bayesian inference on spatial log-Gaussian Cox processes assuming a spatially continuous latent field: Markov chain Monte Carlo (MCMC) and the integrated nested Laplace approximation (INLA). We first describe the
Diggle, Peter J., Taylor, Benjamin M.
core +1 more source
Spatial Data Analysis with R-INLA with Some Extensions
Journal of Statistical Software, 2015 The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals of a wide range of Bayesian hierarchical models.
Roger Bivand +2 more
doaj +1 more source
BMC Public Health, 2022 Background Overweight and obesity are one of the most significant risk factors of the twenty-first century related to an increased risk in the occurrence of non-communicable diseases and associated increased healthcare costs.
Robby De Pauw +5 more
doaj +1 more source