Results 61 to 70 of about 5,732 (193)

Modelling energy efficiency performance of residential building stocks based on Bayesian statistical inference [PDF]

open access: yes, 2016
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

Burden and Forecast of Early‐Onset Colorectal Cancer (1990–2038) in Five East Asian Populations: A Systematic Analysis Based on the GBD 2023 Study

open access: yesCancer Medicine, Volume 15, Issue 5, May 2026.
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

Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa

open access: yesCrime Science
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

Hemisphere‐Level Comparison of Climate‐Driven Humpback Whale Breeding Migrations to the Eastern Pacific Off Costa Rica

open access: yesEcology and Evolution, Volume 16, Issue 5, May 2026.
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]

open access: yesPLoS 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

Burden of Nutritional Deficiencies: A Systematic Analysis for the GBD 2021

open access: yesHealth Science Reports, Volume 9, Issue 5, May 2026.
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

open access: yesMethods in Ecology and Evolution
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

Total antibiotic use in a state-wide area and resistance patterns in Brazilian hospitals: an ecologic study

open access: yesBrazilian 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

Analysis of childhood overweight and obesity in Namibia using spatio-temporal quantile interval models

open access: yesJournal 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

Graphical outputs and Spatial Cross-validation for the R-INLA package using INLAutils

open access: yes, 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

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