Results 41 to 50 of about 3,561,036 (197)
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling
CoRR, 2023 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) provides a framework for performing Bayesian inference applicable to a large subclass of additive ...
Gaedke-Merzhäuser, Lisa +4 more
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Importance Sampling with the Integrated Nested Laplace Approximation
, 2022 The integrated nested Laplace approximation (INLA) is a deterministic approach to Bayesian inference on latent Gaussian models (LGMs) and focuses on fast and accurate approximation of posterior marginals for the parameters in the models.
Sara Martino (12456104) +3 more
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
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
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
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
Veterinary and Animal ScienceThis study aimed to evaluate and compare Bayesian predictive models to identify and quantify the key household inputs affecting cattle milk production in Tanzania.
Zainabu Bonza +2 more
doaj +1 more source
Loss‐Aware Forecast Construction for Realized Variance
Journal of Forecasting, EarlyView.ABSTRACT Forecasts of realized variance are commonly constructed from models of log‐realized variance and then transformed back to the original scale. However, the resulting forecasts are often evaluated using loss functions defined in relative rather than absolute terms, creating a potential mismatch between forecast construction and forecast ...
Nick Taylor
wiley +1 more source
, 2021 Different nonergodic Ground-Motion Models based on spatially varying coefficient models are compared for ground-motion data in Italy. The models are based different methodologies: Multi-source geographically weighted regression (Caramenti et al., 2020 ...
Nicolas Kuehn, Kuehn, Nicolas
core +1 more source
The Kaohsiung Journal of Medical Sciences, EarlyView.ABSTRACT High body mass index (BMI) has been identified as a significant risk factor for childhood asthma. Given the rising prevalence of childhood obesity, assessing the impact of high BMI on asthma burden trends is imperative. Utilizing Global Burden of Disease (GBD) data, we estimated age‐, sex‐, geography‐, and sociodemographic index (SDI ...
Hua Li +4 more
wiley +1 more source