Results 91 to 100 of about 8,734 (183)

Bayesian computing with INLA: New features [PDF]

, 2013
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA.
Simpson, Daniel, Lindgren, Finn; id_orcid, Martins, Thiago G., Lindgren, Finn, Rue, Håvard   +4 more
core   +1 more source

Best management practices for bee conservation in forest openings

Conservation Science and Practice
Native bees are an ecologically diverse group of pollinators in global decline due at least in part to invasive species, pesticides, and habitat loss.
Michael J. Cunningham‐Minnick, Joan Milam, Aliza Fassler, David I. King   +3 more
doaj   +1 more source

Evaluating PM_2.5 Exposure Disparities Through Agent-Based Geospatial Modeling in an Urban Airshed

Air
Fine particulate matter (PM2.5) poses substantial urban health risks that vary across space, time, and population vulnerability. We integrate a spatio-temporal INLA–SPDE PM2.5 field with an agent-based model (ABM) of 10,000 daily home–work commuters in ...
Daniel P. Johnson, Gabriel Filippelli, Asrah Heintzelman   +2 more
doaj   +1 more source

Spatial modelling with R-INLA: A review

, 2018
Coming up with Bayesian models for spatial data is easy, but performing inference with them can be challenging. Writing fast inference code for a complex spatial model with realistically-sized datasets from scratch is time-consuming, and if changes are ...
Bolin, David, Bakka, Haakon, Riebler, Andrea, Simpson, Daniel, Lindgren, Finn, Rue, Haavard, Krainski, Elias, Fuglstad, Geir-Arne   +7 more
core  

Modelo espacial bayesiano de Cox log-gaussiano usando SPDE para estimar la ocurrencia de incendios forestales en el Perú [PDF]

, 2023
Los incendios forestales se han venido incrementando en las últimas cuatro décadas a nivel mundial. En el Perú de acuerdo a los datos del INDECI, en los últimos 10 años se evidencia una tendencia creciente.
Salcedo Suarez, Omar Ivan
core  

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

Discover 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, Idim Godwin, Olamide Akeboi, Karinate Cyril-Egware, Sharon Uzoma, Maduekwe Vivian, Ebuka Nwafia, Oshodi Esther, Tijjani Habib, Shehu Abdullahi, Rehanat Amusu, Jedydah Atieno, Koko Aadum, Ojonimi Alfred, Geraldine Mbagwu, Ganiyat Eshikhena, Ugomma Nyananyo, Josephina Obande, Ezra Gayawan   +18 more
doaj   +1 more source

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

Mathematics
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

The SPDE approach in spatio-temporal Bayesian models for atmospheric pollution monitoring ​

reservedQuesta tesi esplora l'applicazione dei metodi bayesiani tramite l’utilizzo dell’Integrated Nested Laplace Approximation (INLA) nell'analisi dei dati spazio-temporali, concentrandosi in particolare sui dati geostatistici e sul monitoraggio dell ...
MONTE, VALENTINA
core  

Bayesian spatiotemporal modelling of wildfire occurrences and sizes for projections under climate change: A step-by-step marked point process approach using INLA-SPDE

, 2023
Appropriate spatiotemporal modelling of wildfire activity is crucial for its prediction and risk managements. Here, we focus on wildfire risk in the Aquitaine region in the Southwest of France and its projection under climate change.
Dupuy, Jean-Luc, Legrand, Juliette, Pimont, François, Opitz, Thomas   +3 more
core  

Plugin in QGis to make spatial predictions through INLA methodology with SPDE approach

, 2022
Conocer el potencial de las técnicas de análisis espacial mediante la interacción con Sistemas de Información Geográfica permite aprovechar diferentes mecanismos de reconocimiento de patrones complejos que pueden ser explotados al máximo con enfoques ...
Moyano Arboleda, Geraldine Vanessa
core