Results 71 to 80 of about 3,307,614 (190)

Bayesian Spatial Modelling with R-INLA

Journal of Statistical Software, 2015
The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally ...
Finn Lindgren, Håvard Rue
doaj   +1 more source

Traffic prediction at signalised intersections using Integrated Nested Laplace Approximation

, 2021
A Bayesian approach to predicting traffic flows at signalised intersections is considered using the the INLA framework. INLA is a deterministic, computationally efficient alternative to MCMC for estimating a posterior distribution. It is designed for latent Gaussian models where the parameters follow a joint Gaussian distribution.
Townsend, D., Nel, C.
openaire   +2 more sources

Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy

Computer Graphics Forum, EarlyView.
Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley   +1 more source

Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa

Crime Science
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone   +6 more
doaj   +1 more source

Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach

Scientific Reports, 2021
Most efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans
Carlos Ochoa, Marta Pittavino, Sara Babo Martins, Gabriel Alcoba, Isabelle Bolon, Rafael Ruiz de Castañeda, Stéphane Joost, Sanjib Kumar Sharma, François Chappuis, Nicolas Ray   +9 more
doaj   +1 more source

Key agroecosystems for the conservation of amphibians and reptiles in Europe

Conservation Biology, EarlyView.
Abstract Agricultural expansion and intensification are driving amphibian and reptile declines worldwide. However, sustainably managed agroecosystems can support a high diversity of herpetofauna, which play a key role in pest control, reducing crop damage.
Andrea Dalpasso, Stefano Canessa, Mattia Falaschi, Alejandra Moràn‐Ordoñez, Gentile Francesco Ficetola   +4 more
wiley   +1 more source

Trend of malaria parasites infection in Ethiopia along an international border: a Bayesian spatio-temporal study

Infectious Diseases of Poverty
Background Malaria is a major worldwide health concern that impacts many individuals worldwide. P. falciparum is Africa’s main malaria cause. However, P.
Changkuoth Jock Chol, Denekew Bitew Belay, Haile Mekonnen Fenta, Ding-Geng Chen   +3 more
doaj   +1 more source

PointedSDMs: An R package to help facilitate the construction of integrated species distribution models

Methods in Ecology and Evolution, 2023
Ecological data are being collected at a large scale from a multitude of different sources, each with their own sampling protocols and assumptions. As a result, the integration of disparate datasets is a rapidly growing area in quantitative ecology, and ...
Philip S. Mostert, Robert B. O'Hara
doaj   +1 more source

Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA)

, 2016
The marginal likelihood is a well established model selection criterion in Bayesian statistics. It also allows to efficiently calculate the marginal posterior model probabilities that can be used for Bayesian model averaging of quantities of interest.
Hubin, Aliaksandr, Storvik, Geir
openaire   +2 more sources

Markov chain Monte Carlo with the Integrated Nested Laplace Approximation

, 2018
The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models which can be represented as a latent Gaussian model (LGM).
Gómez-Rubio, Virgilio, Rue, Haavard
core   +1 more source