Results 41 to 50 of about 5,732 (193)
Efficient spatial modelling using the SPDE approach with bivariate splines [PDF]
, 2015 Gaussian fields (GFs) are frequently used in spatial statistics for their versatility. The associated computational cost can be a bottleneck, especially in realistic applications. It has been shown that computational efficiency can be gained by doing the
Guillas, Serge +2 more
core +3 more sources
Bayesian modeling of the temporal evolution of seismicity using the ETAS.inlabru package
Frontiers in Applied Mathematics and Statistics, 2023 The epidemic type aftershock sequence (ETAS) model is widely used to model seismic sequences and underpins operational earthquake forecasting (OEF).
Mark Naylor +4 more
doaj +1 more source
A general theory for preferential sampling in environmental networks
, 2019 This paper presents a general model framework for detecting the preferential sampling of environmental monitors recording an environmental process across space and/or time.
Shaddick, Gavin +2 more
core +1 more source
Natural environments and suicide mortality in the Netherlands: a cross-sectional, ecological study [PDF]
, 2018 Background: Natural outdoor environments, such as green spaces (ie, grass, forests, or parks), blue spaces (ie, visible bodies of fresh or salt water), and coastal proximity, have been increasingly shown to promote mental health.
de Beurs, Derek +4 more
core +2 more sources
Modelling Spatial Compositional Data: Reconstructions of past land cover and uncertainties [PDF]
, 2017 In this paper, we construct a hierarchical model for spatial compositional data, which is used to reconstruct past land-cover compositions (in terms of coniferous forest, broadleaved forest, and unforested/open land) for five time periods during the past
Gaillard, Marie-José +3 more
core +2 more sources
Conservation Science and Practice, 2020 Endemic species face a variety of threats including predation from non‐native invaders. In some cases, however, invasive species can be managed by directly suppressing populations, and tracking technologies that allow researchers to identify movement ...
Lee F.G. Gutowsky +9 more
doaj +1 more source
survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling
Journal of Statistical Software, 2020 Survival analysis features heavily as an important part of health economic evaluation, an increasingly important component of medical research. In this setting, it is important to estimate the mean time to the survival endpoint using limited information (
Gianluca Baio
doaj +1 more source
A note on intrinsic Conditional Autoregressive models for disconnected graphs
, 2017 In this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR) models for disconnected graphs, with the aim of providing practical guidelines for how these models should be defined, scaled and implemented. We show how these suggestions can
Freni-Sterrantino, Anna +2 more
core +1 more source
Revista Latinoamericana de Población, 2019 El trabajo busca modelar la distribución de la tasa de incidencia acumulada de COVID-19 en los municipios de México a través del ajuste de tres modelos lineales generalizados (en competencia) con efectos espaciales y temporales y función de enlace ...
Gerardo Núñez Medina
doaj +1 more source
Comparison of inference methods of genetic parameters with an application to body weight in broilers [PDF]
Archives Animal Breeding, 2015 REML (restricted maximum likelihood) has become the standard method of variance component estimation in animal breeding. Inference in Bayesian animal models is typically based upon Markov chain Monte Carlo (MCMC) methods, which are generally flexible but
G. Maniatis +4 more
doaj +1 more source