Results 21 to 30 of about 14,071 (177)

The association of climate-induced stressors on risk of negative sentiment: An analysis from 462 million geotagged tweets in Europe [PDF]

iScience
Summary: This study examines how climate-induced health risks influence negative sentiments on European social tweets from 2015 to 2022. Analyzing over 400 million tweets using NLP tools (NLTK, LIWC22) and spatial-temporal aggregation at the NUTS2 weekly
Tareq Al-Ahdal, Sandra Barman, Barrak Alahmad, Stella Dafka, Elisa Gallo, Joan Ballester, Mikhail Sofiev, Marina Romanello, Till Bärnighausen, Michael Gertz, Joacim Rocklöv   +10 more
doaj   +2 more sources

Animal Models and Integrated Nested Laplace Approximations [PDF]

G3 Genes|Genomes|Genetics, 2013
AbstractAnimal models are generalized linear mixed models used in evolutionary biology and animal breeding to identify the genetic part of traits. Integrated Nested Laplace Approximation (INLA) is a methodology for making fast, nonsampling-based Bayesian inference for hierarchical Gaussian Markov models.
Holand, Anna Marie, Steinsland, Ingelin, Martino, Sara, Jensen, Henrik   +3 more
openaire   +3 more sources

Determining factors associated with cholera disease in Ethiopia using Bayesian hierarchical modeling

BMC Public Health, 2022
Background Cholera is a diarrheal disease caused by infection of the intestine with the gram-negative bacteria Vibrio cholera. It is caused by the ingestion of food or water and infected all age groups.
Tsigereda Tilahun Letta, Denekew Bitew Belay, Endale Alemayehu Ali   +2 more
doaj   +1 more source

Fitting complex ecological point process models with integrated nested Laplace approximation [PDF]

Methods in Ecology and Evolution, 2013
Summary We highlight an emerging statistical method, integrated nested Laplace approximation ( INLA ), which is ideally suited for fitting complex models to many of the rich spatial data ...
J. Illian, S. Martino, S. H. Sørbye, J. B. Gallego-Fernández, M. Zunzunegui, M. Esquivias, J. Travis   +6 more
semanticscholar   +4 more sources

Correction to: ‘Simplified integrated nested Laplace approximation’

Biometrika
zbMATH Open Web Interface contents unavailable due to conflicting licenses.

semanticscholar   +3 more sources

Laplace approximation for conditional autoregressive models for spatial data of diseases

MethodsX, 2022
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

Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach

Scientific Reports, 2023
The use of spatially referenced data in agricultural systems modelling has grown in recent decades, however, the use of spatial modelling techniques in agricultural science is limited.
Andrew Fichera, Rachel King, Jarrod Kath, David Cobon, Kathryn Reardon-Smith   +4 more
doaj   +1 more source

Comparing distribution of harbour porpoise using generalized additive models and hierarchical Bayesian models with integrated nested laplace approximation

Ecological Modelling, 2022
Species Distribution Models (SDMs) are used regularly to develop management strategies, but many modelling methods ignore the spatial nature of data. To address this, we compared fine-scale spatial distribution predictions of harbour porpoise ( Phocoena ...
Laura D. Williamson, B. Scott, M. Laxton, J. Illian, V. Todd, P. I. Miller, Kate L. Brookes   +6 more
semanticscholar   +1 more source

Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models

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, Manu Claessens, Vanessa Gorasso, Sabine Drieskens, Christel Faes, Brecht Devleesschauwer   +5 more
doaj   +1 more source

Spatially Dependent Bayesian Modeling of Geostatistics Data and Its Application for Tuberculosis (TB) in China

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, Bo Tang, Long Qin, Huiguo Zhang, Xijian Hu   +4 more
doaj   +1 more source