A two-stage Bayesian modelling framework with applications in spatial epidemiology [PDF]
This thesis proposes a framework for doing two-stage modelling in spatial epidemiology, whose main goal is to understand the association between a covariate of interest, which is modelled in the first stage, and health outcomes, which is modelled in the ...
Villejo, Stephen Jun Vecera
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We propose a spatio-temporal data-fusion framework for point data and gridded data with variables observed on different spatial supports. A latent Gaussian field with a Matérn-SPDE prior provides a continuous space representation, while source-specific observation operators map observations to both point measurements and gridded averages, addressing ...
Zheng, Weiyue +3 more
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Improving Earthquake Disaster Models with Post-Event Data: Insights from the 2015 Gorkha, Nepal Earthquake [PDF]
, 2019 Immense amounts of data are collected following earthquake disasters. Yet, it remains unclear how researchers’ might take full advantage of diverse post-disaster datasets. Using data from the 2015 Gorkha Nepal earthquake, this dissertation explores three
Wilson, Bradley Steven
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Correction to: A Bayesian Model for Estimating the Effects of Human Disturbance on Wildlife Habitats Based on Nighttime Light Data and INLA‑SPDE [PDF]
Applied Spatial Analysis and Policy, 2022 Changbai Xi +4 more
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Spatial models for probabilistic prediction of wind power with application to annual-average and high temporal resolution data [PDF]
, 2016 Clemmensen, Line Katrine Harder +3 more
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A comparison of extreme gradient and Gaussian process boosting for a spatial logistic regression on satellite data [PDF]
The paper compares two advanced boosting techniques, Extreme Gradient Boosting (XGBoost) and Gaussian Process Boosting (GPBoost), for spatial logistic regression models using satellite data.
Renfrew, Michael, Worton, Bruce J
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Paediatric anaemia in rural Kenya and the role of travel time to emergency care services [PDF]
Background: Access to emergency care (EC) services is crucial for severe anaemia outcome. Limited information exists on the association between travel times to EC services and the presentation and severity of anaemia upon hospital admission.
Akech, Samuel +7 more
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Spatial data fusion adjusting for preferential sampling using INLA and SPDE
Spatially misaligned data can be fused by using a Bayesian melding model that assumes that underlying all observations there is a spatially continuous Gaussian random field process.
Amaral, André Victor Ribeiro +2 more
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