Results 71 to 80 of about 3,927,001 (165)

Tobacco‐Attributable Burden of Early‐Onset Ischemic Heart Disease From 1990 to 2023: A Global Analysis Using GBD 2023 and Age‐Period‐Cohort Modeling

open access: yesClinical Cardiology, Volume 49, Issue 8, August 2026.
Using GBD 2023 data, we found that age‐standardized tobacco‐attributable early‐onset ischemic heart disease burden declined globally from 1990 to 2023, while absolute DALYs and deaths increased. Persistent male and regional disparities, together with uncertain mortality projections, underscore the need for stronger tobacco control and integrated ...
Xin Ouyang   +9 more
wiley   +1 more source

Simplified Integrated Nested Laplace Approximation [PDF]

open access: yes, 2019
Integrated nested Laplace approximation provides accurate and efficient approximations for marginal distributions in latent Gaussian random field models. Computational feasibility of the original Rue et al.
Wood, Simon N, Simon N Wood
core   +1 more source

Assessing the Impact of Geopolitical Risk on Longevity Bond Pricing: Insights from Bayesian Multivariate Regression

open access: yesJournal of Statistical Theory and Applications (JSTA)
This paper investigates the multivariate pricing of coupon longevity bonds (CLBs) using the Fama–French–Lee–Carter (FF–LC) five-vector model in the framework of Bayesian integrated nested Laplace approximation (INLA) in the presence of geopolitical risk (
Yethu Sithole   +2 more
doaj   +1 more source

The impact of climatic factors on negative sentiments: An analysis of human expressions from X platform in Germany

open access: yesiScience
Summary: Expressions in social media can provide a rapid insight into people’s reactions to events, such as periods of climatic stress. This study explored the link between climatic stressors and negative sentiment on the X platform in Germany to inform ...
Tareq Al-Ahdal   +6 more
doaj   +1 more source

A Novel Method of Marginalisation using Low Discrepancy Sequences for Integrated Nested Laplace Approximations

open access: yes, 2019
Recently, it has been shown that approximations to marginal posterior distributions obtained using a low discrepancy sequence (LDS) can outperform standard grid-based methods with respect to both accuracy and computational efficiency. This recent method,
Joe, Stephen   +3 more
core   +1 more source

Bayesian survival analysis with INLA [PDF]

open access: yes
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the INLA and INLAjoint R-packages. Such models include accelerated failure time,
Alvares, Danilo   +4 more
core   +6 more sources

Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication

open access: yesEmerging Infectious Diseases, 2016
As the global eradication of poliomyelitis approaches the final stages, prompt detection of new outbreaks is critical to enable a fast and effective outbreak response. Surveillance relies on reporting of acute flaccid paralysis (AFP) cases and laboratory
Isobel M. Blake   +5 more
doaj   +1 more source

Implementing approximate Bayesian inference for survival analysis using integrated nested Laplace approximations

open access: yes, 2010
This manual describes theinla program, a new instrument which allows the user to easily perform approximate Bayesian inference using integrated nested Laplace approximation (INLA). We describe the set of models which can be solved by the inla program and
Sara Martino
core  

Bayesian Inference for multivariate spatial models with INLA [PDF]

open access: yes
Bayesian methods and software for spatial data analysis are well-established now in the broader scientific community generally, and in the spatial data analysis community specifically.
Cameletti, Michela   +4 more
core   +1 more source

Bayesian models for missing and misclassified variables using integrated nested Laplace approximations [PDF]

open access: yes
Misclassified variables used in regression models, either as a covariate or as the response, may lead to biased estimators and incorrect inference. Even though Bayesian models to adjust for misclassification error exist, it has not been shown how these ...
Bastos, Leonardo Soares   +3 more
core   +1 more source

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