Results 91 to 100 of about 5,509 (173)

Using additive and coupled spatiotemporal SPDE models : a flexible illustration for predicting occurrence of Culicoides species

open access: yes, 2017
: This paper formulates and compares a general class of spatiotemporal models for uni-variate space-time geostatistical data. The implementation of stochastic partial differential equation (SPDE) approach combined with integrated nested Laplace ...
Faes, Christel   +5 more
core   +1 more source

High-Resolution Spatiotemporal Forecasting with Missing Observations Including an Application to Daily Particulate Matter 2.5 Concentrations in Jakarta Province, Indonesia

open access: yesMathematics
Accurate forecasting of high-resolution particulate matter 2.5 (PM2.5) levels is essential for the development of public health policy. However, datasets used for this purpose often contain missing observations.
I Gede Nyoman Mindra Jaya, Henk Folmer
doaj   +1 more source

Spatial data fusion adjusting for preferential sampling using INLA and SPDE [PDF]

open access: yes
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.
Moraga, Paula   +2 more
core   +1 more source

Geospatial analysis of immunisation outcomes in Nigeria using a Bayesian geostatistical approach and an interactive dashboard

open access: yesDiscover Public Health
Background Nigeria’s significant contribution to the global pool of zero-dose children persists despite ongoing immunisation investments. This coverage deficits in Kano and Lagos states serve as stark indicators of underlying structural and socio ...
Chijioke Kaduru   +18 more
doaj   +1 more source

ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach

open access: yes
Bayesian Optimization (BO) is a popular method for efficiently optimizing expensive black-box objectives. However, BO utilizing standard Gaussian Processes is ill-suited for doubly stochastic Cox Processes that are often used in spatio-temporal problem spaces.
Yang, Kaichuang   +2 more
openaire   +2 more sources

Efficient Bayesian Hierarchical Small Area Population Estimation Using INLA-SPDE: Integrating Multiple Data Sources and Spatial-Autocorrelation

open access: yes
Statistical modelling approaches which produce fine spatial resolution population estimates have been developed to fill data gaps in resource-poor countries where census data are either outdated or incomplete. These population modelling methods often draw upon recent georeferenced sample population enumeration datasets to predict population density and
Chibuzor Christopher Nnanatu   +6 more
openaire   +1 more source

Comparing Global and Local Specification of Spatially Varying Anisotropy

open access: yes, 2020
I denne oppgaven tar vi for oss to tilnærminger til ikke-stasjonær romlig modellering med gaussiske stokastiske felt (GRF-er), og sammenligner disse. Den første tilnærmingen tar i bruk en stokastisk partiell differensialligning (SPDE), som har en GRF som
Isaksen, Mathias Leander
core  

Estimating scale‐dependent covariate responses using two‐dimensional diffusion derived from the stochastic partial differential equation method

open access: yesMethods in Ecology and Evolution
Species distribution models (SDMs) are widely used to standardize spatially unbalanced data, project climate impacts and identify habitat for conservation.
Max Lindmark   +2 more
doaj   +1 more source

Spatio-temporal models Valley fever incidence using INLA and stochastic PDE\u27s

open access: yes
honors thesisCollege of SciencePhysics & AstronomyKatharine WalterValley fever, caused by the Coccidioides fungus is a disease of increasing concern in the American West.
Sussman, Jacob
core  

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