Results 151 to 160 of about 20,362 (180)

Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models. [PDF]

Geohealth
Marquès E, Messier KP.
europepmc   +1 more source

Smooth predictions for age-period-cohort models: a comparison between splines and random process. [PDF]

BMC Med Res Methodol
Gascoigne C, Riebler A, Smith T.
europepmc   +1 more source

Spatial Difference-in-Differences with Bayesian Disease Mapping Models. [PDF]

Epidemiology
Bonander C, Blangiardo M, Strömberg U.
europepmc   +1 more source

Identifying Ecological Corridors of the Bush Cricket <i>Saga pedo</i> in Fragmented Landscapes. [PDF]

Insects
Della Rocca F, Repetto E, De Caria L, Milanesi P.   +3 more
europepmc   +1 more source

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Spatio-temporal disease mapping using INLA

Environmetrics, 2010
AbstractSpatio‐temporal disease mapping models are a popular tool to describe the pattern of disease counts. They are usually formulated in a hierarchical Bayesian framework with latent Gaussian model. So far, computationally expensive Markov chain Monte Carlo algorithms have been used for parameter estimation which might induce a large Monte Carlo ...
Schrödle, B, Held, L
openaire   +2 more sources

A Gibbs‐INLA algorithm for multidimensional graded response model analysis

British Journal of Mathematical and Statistical Psychology, 2023
Abstract In this paper, we propose a novel Gibbs‐INLA algorithm for the Bayesian inference of graded response models with ordinal response based on multidimensional item response theory. With the combination of the Gibbs sampling and the integrated nested Laplace approximation (INLA), the new framework avoids the cumbersome tuning ...
Xiaofan Lin, Siliang Zhang, Yincai Tang, Xuan Li   +3 more
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Anomalous Dispersion of LO Phonons inLa.1.85Sr0.15CuO4

Journal of Low Temperature Physics, 1999
The dispersion of the highest energy LO phonon branch in La. 1.85 Sr 0.15 CuO 4 in the (100) direction has been reinvestigated by high resolution inelastic neutron scattering. In contrast to what has been recently reported by McQueeney et al. (Phys.
Lothar Pintschovius, Markus Braden
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Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mapping

Science of The Total Environment, 2017
Understanding the uncertainty in spatial modelling of environmental variables is important because it provides the end-users with the reliability of the maps. Over the past decades, Bayesian statistics has been successfully used. However, the conventional simulation-based Markov Chain Monte Carlo (MCMC) approaches are often computationally intensive ...
Jingyi Huang, Brendan P. Malone, Budiman Minasny, Alex B. McBratney, John Triantafilis   +4 more
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Case studies in Bayesian computation using INLA

2010
Latent Gaussian models are a common construct in statistical applications where a latent Gaussian field, indirectly observed through data, is used to model, for instance, time and space dependence or the smooth effect of covariates. Many well-known statistical models, such as smoothing-spline models, space time models, semiparametric regression ...
Sara Martino, Håvard Rue
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