Results 61 to 70 of about 5,732 (193)
Modelling energy efficiency performance of residential building stocks based on Bayesian statistical inference [PDF]
This paper provides a model based on Integrated Nested Laplace Approximation to predict the energy performance of existing residential building stocks.
Bovea, María D +3 more
core +1 more source
ABSTRACT Background Early‐onset colorectal cancer (EO‐CRC) is increasing globally with substantial regional variation. We assessed epidemiological changes in EO‐CRC in five East Asian populations. Methods Using GBD 2023 data, we calculated age‐standardized incidence, prevalence, mortality, and DALY rates (ASIR, ASPR, ASMR, ASDR), counts, and average ...
Lili jin +4 more
wiley +1 more source
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman +6 more
doaj +1 more source
This study analyzed humpback whale occurrence off the Pacific coast of Costa Rica from 2001 to 2023, focusing on the Central America and Southeast Pacific Distinct Population Segments, using long‐term sightings and Bayesian time‐series and habitat models.
Lili Pelayo‐González +6 more
wiley +1 more source
Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data. [PDF]
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
Burden of Nutritional Deficiencies: A Systematic Analysis for the GBD 2021
ABSTRACT Background and Aims Nutritional deficiencies (ND) remain a major global health challenge, significantly affecting population well‐being. As part of the Global Burden of Disease (GBD) study, we conducted a comprehensive assessment of the prevalence, incidence, mortality, and disability‐adjusted life years (DALYs) attributed to ND from 1990 to ...
Shuxiong Nong, Rui Deng, Xiuhua Zhang
wiley +1 more source
Spatio‐temporal occupancy models with INLA
Modern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have become a popular choice for analysing species occurrence data due to their ability to separate out
Jafet Belmont +3 more
doaj +1 more source
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
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
Graphical outputs and Spatial Cross-validation for the R-INLA package using INLAutils
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

