Results 171 to 180 of about 21,991 (210)

Bayesian spatio-temporal model with INLA for dengue fever risk prediction in Costa Rica

Environmental and Ecological Statistics, 2023
Due to the rapid geographic spread of the Aedes mosquito and the increase in dengue incidence, dengue fever has been an increasing concern for public health authorities in tropical and subtropical countries worldwide.
Chou-Chen Wei Shu   +6 more
semanticscholar   +1 more source

Bayesian Spatial Modeling of Landslide Events Using Integrated Nested Laplace Approximation (INLA): A Study Case on Natural Conditions and Community Actions in East Java, Indonesia

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 ...
Salman Alfarisi   +5 more
semanticscholar   +1 more source

Spatio-temporal disease mapping using INLA

Environmetrics, 2010
AbstractSpatio‐temporal disease mapping models are a popular tool to describe the pattern of disease counts. They are usually formulated in a hierarchical Bayesian framework with latent Gaussian model. So far, computationally expensive Markov chain Monte Carlo algorithms have been used for parameter estimation which might induce a large Monte Carlo ...
Schrödle, B, Held, L
openaire   +2 more sources

PEMODELAN REGRESI BINOMIAL DENGAN INLA: STUDI KASUS FAKTOR RISIKO PENYAKIT DIABETES

Sinergi
Diabetes merupakan tantangan kesehatan global yang signifikan, dengan prevalensi yang meningkat secara dramatis selama beberapa dekade terakhir, terutama di negara-negara berpenghasilan rendah dan menengah.
Nadia Icha Shafira   +1 more
semanticscholar   +1 more source

A Bayesian Implementation of the Multiscale Geographically Weighted Regression Model with INLA

Annals of the American Association of Geographers, 2023
The multiscale geographically weighted regression (MGWR) model is an important extension of the classical geographically weighted regression (GWR) model that can be used to explore the spatial nonstationarity of the regression relationship in spatial ...
Zhihua Ma, Zhelin Huang
semanticscholar   +1 more source

The impact of rapid urbanization on water resources based on INLA

Frontiers in Environmental Science
Rapid urbanization reshapes regional water resources by reconfiguring land systems and altering the balance between runoff and infiltration. Empirical evidence that jointly accounts for human and natural drivers while addressing spatial dependence ...
Yongjun Song   +8 more
semanticscholar   +1 more source

Bayesian spatiotemporal modelling analysis of hemorrhagic fever with renal syndrome outbreaks in China using R‐INLA

Zoonoses and Public Health, 2022
Hemorrhagic fever with renal syndrome (HFRS) is a category B infectious disease caused by Hantavirus infection, which can cause acute kidney injury and has a high mortality rate.
Jia-Yi Teng   +4 more
semanticscholar   +1 more source

Addressing spatial confounding in geostatistical regression models: An R‐INLA approach

Methods in Ecology and Evolution
Spatial confounding, which has been studied extensively in recent years, can explain inconsistencies between results obtained by regression models with and without spatial modelling.
Jérémy Lamouroux   +4 more
semanticscholar   +1 more source

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