Spatiotemporal Distribution Patterns and Influencing Factors of Pulmonary Tuberculosis in Xinjiang: Based on Hierarchical Bayesian Model [PDF]
Zhongguo quanke yixueBackground China ranks third globally in tuberculosis burden and is classified as one of the highest tuberculosis (TB) burden countries. Xinjiang, a multi-ethnic region in northwestern China, has consistently reported one of the highest TB incidence ...
LI Feifei, ZHOU Peiyao, LU Yaoqin, ZHENG Yanling, ZHANG Liping
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Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain) [PDF]
, 2019 The spatio-temporal study of wildfires has two complex elements that are the computational efficiency and longtime processing. Modelling the spatial variability of a wildfire could be performed in different ways, and an important issue is the ...
Juan, Pablo
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GeodermaInformation 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
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A data fusion model for meteorological data using the INLA-SPDE method
Journal of the Royal Statistical Society Series C: Applied StatisticsAbstract We present a data fusion model designed to address the problem of sparse observational data by incorporating numerical forecast models as an additional data source to improve predictions of key variables. This model is applied to two main meteorological data sources in the Philippines.
Stephen Jun Villejo +3 more
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Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database [PDF]
, 2019 Wildfires play an important role in shaping landscapes and as a source of CO2 and particulate matter, and are a typical spatial point process studied in many papers.
Juan, Pablo
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Approximate Bayesian inference based on INLA algorithm
Statistical Theory and Related FieldsThe integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods.
Pingping Wang, Wei Zhao, Yincai Tang
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Spatio-temporal modeling of traffic risk mapping on urban road networks [PDF]
, 2020 Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesOver the past few years, traffic collisions have been one of the serious issues all over the world.
Chaudhuri, Somnath
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Robust uncertainty quantification of the volume of tsunami ionospheric holes for the 2011 Tohoku-Oki earthquake: towards low-cost satellite-based tsunami warning systems [PDF]
, 2022 We develop a new method to analyze the total electron content (TEC) depression in the ionosphere after a tsunami occurrence. We employ Gaussian process regression to accurately estimate the TEC disturbance every 30 s using satellite observations from the
Guillas, Serge +4 more
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BMC Public Health, 2022 Background Despite a global decrease in malaria burden worldwide, malaria remains a major public health concern, especially in Benin children, the most vulnerable group.
Barikissou Georgia Damien +8 more
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