Results 41 to 50 of about 1,581 (122)

Bayesian spatial prediction of soil organic carbon stocks in eastern DRC using INLA-SPDE and environmental covariates

open access: yesEnvironmental Challenges
Soil organic carbon (SOC) plays a critical role in climate mitigation and agricultural sustainability, yet its spatial distribution in the eastern Democratic Republic of the Congo (DRC) remains poorly quantified.
Alain Matazi Kangela   +8 more
doaj   +1 more source

High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity

open access: yesGeophysical Research Letters
Understanding the generation of damaging, high‐frequency ground motions during earthquakes is essential both for fundamental science and for effective hazard preparation.
Avigyan Chatterjee   +4 more
doaj   +1 more source

Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA

open access: yesActa Technica Jaurinensis
This research emphasizes the visualization of spatial data for statistical modelling and analysis of the relative risk associated with the COVID-19 pandemic in Alabama, USA. We used Bayesian analysis and the Integrated Nested Laplace Approximation (INLA)
Getachew Engidaw, György Terdik
doaj   +1 more source

Mapping spatial drivers of rice productivity: A case study of Inpari 36 and 37 in West Java with BYM2-INLA

open access: yesJournal of Geospatial Science and Analytics
West Java is one of Indonesia’s largest rice-producing provinces. However, rice production has declined by 23.07% since 2018 due to land conversion. Therefore, this study investigates the factors influencing rice productivity by modeling and mapping the ...
I Putu Aditya Brama Putra Cakra Negara   +2 more
doaj   +1 more source

Assessing the Impact of Geopolitical Risk on Longevity Bond Pricing: Insights from Bayesian Multivariate Regression

open access: yesJournal of Statistical Theory and Applications (JSTA)
This paper investigates the multivariate pricing of coupon longevity bonds (CLBs) using the Fama–French–Lee–Carter (FF–LC) five-vector model in the framework of Bayesian integrated nested Laplace approximation (INLA) in the presence of geopolitical risk (
Yethu Sithole   +2 more
doaj   +1 more source

Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication

open access: yesEmerging Infectious Diseases, 2016
As the global eradication of poliomyelitis approaches the final stages, prompt detection of new outbreaks is critical to enable a fast and effective outbreak response. Surveillance relies on reporting of acute flaccid paralysis (AFP) cases and laboratory
Isobel M. Blake   +5 more
doaj   +1 more source

Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia

open access: yesScientific Reports
In this study, we modelled the incidence of COVID-19 cases and hospitalisations by basic health areas (ABS) in Catalonia. Spatial, temporal and spatio-temporal incidence trends were described using estimation methods that allow to borrow strength from ...
Pau Satorra, Cristian Tebé
doaj   +1 more source

Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model

open access: yesGeoderma
Information on the spatial distribution of soil organic carbon (SOC) in regional farmland is crucial for improving management and production. Mapping SOC in farmlands is challenging due to the strong variation of SOC caused by the influence of natural ...
Bifeng Hu   +10 more
doaj   +1 more source

PENDEKATAN GLMM BINOMIAL NEGATIF DALAM MENGANALISIS KASUS KEMATIAN BAYI DI JAWA TIMUR TAHUN 2023

open access: yesE-Jurnal Matematika
Infant Mortality Rate (IMR) is a critical indicator of the health and welfare of a community, particularly in East Java. This province has a concerning IMR, necessitating greater efforts to meet the Sustainable Development Goals (SDGs) target of 12 ...
YOHANA HERLINA PUTRI   +1 more
doaj   +1 more source

Spatio‐temporal occupancy models with INLA

open access: yesMethods in Ecology and Evolution
Modern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have become a popular choice for analysing species occurrence data due to their ability to separate out
Jafet Belmont   +3 more
doaj   +1 more source

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