Results 51 to 60 of about 14,071 (177)

A Bayesian spatio-temporal model of panel design data: airborne particle number concentration in Brisbane, Australia [PDF]

, 2013
This paper outlines a methodology for semi-parametric spatio-temporal modelling of data which is dense in time but sparse in space, obtained from a split panel design, the most feasible approach to covering space and time with limited equipment. The data
Box G. E. P., Cleveland R. B., Cleveland W. S., Hastie T. J., Health Effects Institute, Matheron G., Rue H.   +6 more
core   +2 more sources

Investigation of the Hourly and Spatial Patterns of Traffic Offenses During March-April 2019 in Iran Using Bivariate Generalized Additive Models and Integrated Nested Laplace Approximation

International journal of high risk behaviors and addiction, 2022
Background: The control, management, and prevention of driving accidents and risky driving are regarded as concerns for numerous countries, according to the World Health Organization.
Mohammad Fayaz, Alireza Abadi, A. Razzaghi, S. Khodakarim, M. Hosseini   +4 more
semanticscholar   +1 more source

Integrated nested Laplace approximations for threshold stochastic volatility models [PDF]

Econometrics and Statistics
Abstract The aim is to implement the integrated nested Laplace approximations (INLA), known to be very fast and efficient, for estimating the parameters of the threshold stochastic volatility (TSV) model. INLA replaces Markov chain Monte Carlo (MCMC) simulations with accurate deterministic approximations. Weakly informative proper priors are used, as
P. de Zea Bermudez, J. Miguel Marín, Håvard Rue, Helena Veiga   +3 more
openaire   +2 more sources

Using Integrated Nested Laplace Approximations for Modelling Spatial Healthcare Utilization

, 2012
In recent years, spatial and spatio-temporal modeling have become an important area of research in many fields (epidemiology, environmental studies, disease mapping). In this work we propose different spatial models to study hospital recruitment, including some potentially explicative variables.
MUSIO, MONICA, Sauleau E. A, MAMELI, VALENTINA   +2 more
openaire   +4 more sources

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

Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2009
Summary Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox
Rue, Havard, Martino, Sara, Chopin, Nicolas   +2 more
openaire   +2 more sources

Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping [PDF]

, 2011
A new class of stochastic field models is constructed using nested stochastic partial differential equations (SPDEs). The model class is computationally efficient, applicable to data on general smooth manifolds, and includes both the Gaussian Mat\'{e}rn ...
Bolin, David, Lindgren, Finn
core   +4 more sources

Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation

Statistics in Medicine, 2018
Models of excess mortality with random effects were used to estimate regional variation in relative or net survival of cancer patients. Statistical inference for these models based on the Markov chain Monte Carlo (MCMC) methods is computationally ...
K. Seppä, H. Rue, T. Hakulinen, E. Läärä, M. Sillanpää, J. Pitkäniemi   +5 more
semanticscholar   +1 more source

Bayesian predictive modelling to ascertain factors affecting cattle milk production in Tanzania: Evidence from the national panel surveys 2012 – 2021

Veterinary and Animal Science
This study aimed to evaluate and compare Bayesian predictive models to identify and quantify the key household inputs affecting cattle milk production in Tanzania.
Zainabu Bonza, Rosalia Katapa, Amina Msengwa   +2 more
doaj   +1 more source

Genetic susceptibility, colony size, and water temperature drive white-pox disease on the coral Acropora palmata. [PDF]

PLoS ONE, 2014
Outbreaks of coral diseases are one of the greatest threats to reef corals in the Caribbean, yet the mechanisms that lead to coral diseases are still largely unknown. Here we examined the spatial-temporal dynamics of white-pox disease on Acropora palmata
Erinn M Muller, Robert van Woesik
doaj   +1 more source