Results 41 to 50 of about 13,859 (206)
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
Modeling and Estimation for Self-Exciting Spatio-Temporal Models of Terrorist Activity [PDF]
, 2017 Spatio-temporal hierarchical modeling is an extremely attractive way to model the spread of crime or terrorism data over a given region, especially when the observations are counts and must be modeled discretely.
Clark, Nicholas +2 more
core +4 more sources
Efficient Reconstructions of Common Era Climate via Integrated Nested Laplace Approximations [PDF]
Journal of Agricultural, Biological and Environmental Statistics, 2019 Paleoclimate reconstruction on the Common Era (1-2000AD) provide critical context for recent warming trends. This work leverages integrated nested Laplace approximations (INLA) to conduct inference under a Bayesian hierarchical model using data from three sources: a state-of-the-art prox database (PAGES 2k), surface temperature observations (HadCRUT4),
Luis A. Barboza +3 more
openaire +2 more sources
BMC Women's Health, 2023 Background Cervical cancer is the 4th most common cancer in women worldwide. as well as the 4th most common cause of cancer-related death. The main objective of this study was to identify factors that affect the survival time of outpatients with cervical
Chalachew Gashu +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
doaj +1 more source
Bayesian spatio-temporal modeling of COVID-19 incidence in Algerian provinces using integrated nested Laplace approximations. [PDF]
Sci RepThe COVID-19 pandemic in Algeria dissplayed significant spatial and temporal heterogeneity, especially during the severe summer 2021 wave driven by the Delta variant.
Asri A.
europepmc +2 more sources
Integrated Nested Laplace Approximations (INLA)
, 2019 This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies on a combination of analytical approximations and efficient numerical integration schemes to achieve ...
Martino, Sara, Riebler, Andrea
openaire +2 more sources
Journal of Transportation Safety & Security, 2020 Improving traffic safety is a priority of most transportation agencies around the world. As part of traffic safety management strategies, efforts have focused on developing more accurate crash-frequency models and on identifying contributing factors in ...
Romi Satria +2 more
semanticscholar +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
Rational Krylov for Stieltjes matrix functions: convergence and pole selection
, 2020 Evaluating the action of a matrix function on a vector, that is $x=f(\mathcal M)v$, is an ubiquitous task in applications. When $\mathcal M$ is large, one usually relies on Krylov projection methods.
Massei, Stefano, Robol, Leonardo
core +1 more source