Results 61 to 70 of about 10,870,567 (191)
Flexible modelling of spatial variation in agricultural field trials with the R package INLA [PDF]
, 2019 The objective of this paper was to fit different established spatial models for analysing agricultural field trials using the open-source R package INLA.
Steinsland, Ingelin +6 more
core +1 more source
Ecological Solutions and Evidence, Volume 7, Issue 3, July–September 2026.This study presents a spatial analysis workflow for using satellite telemetry data to understand livestock movement and habitat selection in conservation grazing contexts, using GPS‐tracked cattle on the Purbeck Heaths National Nature Reserve as a case study.
Tom Major +3 more
wiley +1 more source
Parallelized integrated nested Laplace approximations for fast Bayesian inference [PDF]
, 2023 There is a growing demand for performing larger-scale Bayesian inference tasks, arising from greater data availability and higher-dimensional model parameter spaces.
Niekerk, Janet van +3 more
core +1 more source
Brazilian Journal of Infectious Diseases, 2020 Introduction: Use of antibiotic and bacterial resistance is the result of a complex interaction not completely understood. Objectives: To evaluate the impact of entire antimicrobial use (community plus hospitals) on the incidence of bloodstream ...
Ícaro Boszczowski +7 more
doaj +1 more source
Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data. [PDF]
PLoS ONE, 2017 Statistical approaches for inferring the spatial distribution of taxa (Species Distribution Models, SDMs) commonly rely on available occurrence data, which is often clumped and geographically restricted.
David W Redding +3 more
doaj +1 more source
Graphical outputs and Spatial Cross-validation for the R-INLA package using INLAutils
, 2020 Statistical analyses proceed by an iterative process of model fitting and checking. The R-INLA package facilitates this iteration by fitting many Bayesian models much faster than alternative MCMC approaches. As the interpretation of results and model objects from Bayesian analyses can be complex, the R package INLAutils provides users with easily ...
Lucas, Tim +2 more
openaire +2 more sources
Statistics in Medicine, Volume 45, Issue 15-17, July 2026.ABSTRACT Environmental exposures, such as air pollution and extreme temperatures, have complex effects on human health. These effects are often characterized by non‐linear exposure‐lag‐response relationships and delayed impacts over time. Accurately capturing these dynamics is crucial for informing public health interventions.
Álvaro Briz‐Redón +3 more
wiley +1 more source
Journal of Health, Population and Nutrition, 2021 The global prevalence of overweight (including obesity) in children under 5 years of age was 7% in 2012, and it is expected to rise to 11% by the year 2025.
Owen Paweni Loss Mtambo +1 more
doaj +1 more source
Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020
Geospatial Health, 2022 The prevalence and use of contraceptive methods is an essential element to explain the behaviour of fertility and population growth. The objective of this study was to analyse the spatial correlation between the use of contraceptive methods in women of ...
Gerardo Núñez Medina
doaj +1 more source
Geometric overdispersion facilitates the integration of ecological data
Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2104-2122, July 2026.Abstract Statistical data integration facilitates inference based on the variety of data prevalent in ecology. In particular, integrated distribution models (IDMs) have been proposed for inferring spatial patterns in abundance using combinations of noisy count, presence–absence and presence–only data.
Justin J. Van Ee +4 more
wiley +1 more source