Results 81 to 90 of about 3,561,036 (197)
Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication
Emerging 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
Scientific Reports, 2021 Most efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans
Carlos Ochoa +9 more
doaj +1 more source
The Plant Genome, Volume 19, Issue 4, December 2026.Abstract Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential for improving complex traits in oat breeding programs.
Samuel A. Adewale +11 more
wiley +1 more source
Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations
Journal of the Royal Statistical Society Series C: Applied Statistics, 2014 SummaryTo account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge can be incorporated in the prior distributions. Recently, integrated nested Laplace approximations have been proven to be a computationally convenient alternative to sampling approaches for Bayesian inference in ...
Muff, Stefanie +4 more
openaire +2 more sources
How do economic and geospatial factors shape conflict? A Bayesian spatial risk approach to Nigeria
Political Science Research and MethodsEconomic and geospatial drivers of conflict are established, yet aggregate analyses often obscure subnational risk patterns. This study develops a high-resolution risk methodology for fragile, resource-rich states by combining spatial econometrics with ...
Juan José Villar-Roldán +2 more
doaj +1 more source
A Geometric Multigrid Preconditioner for Discontinuous Galerkin Shifted Boundary Method
International Journal for Numerical Methods in Engineering, Volume 127, Issue 21, 15 November 2026.ABSTRACT I introduce a geometric multigrid preconditioner for the Shifted Boundary Method (SBM) designed to solve PDEs on complex geometries. While the SBM simplifies mesh generation by using a nonconforming background grid, it often results in nonsymmetric linear systems, a complete analysis of which is missing from the literature, especially with ...
Michał Wichrowski
wiley +1 more source
Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA)
, 2016 The marginal likelihood is a well established model selection criterion in Bayesian statistics. It also allows to efficiently calculate the marginal posterior model probabilities that can be used for Bayesian model averaging of quantities of interest.
Hubin, Aliaksandr, Storvik, Geir
openaire +2 more sources
Breakpoint detection on latent autoregressive time series of counts using integrated nested Laplace approximation. [PDF]
, 2020 Abrupt changes in a data source can weaken models that fail at addressing these. Structural change detection has traditionally been done with a frequentist approach, but recently approaches based on Bayesian models and Markov Chain Monte Carlo (MCMC ...
Ahmed, Amir
core +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
Cancer Medicine, Volume 15, Issue 11, November 2026.ABSTRACT Background Lip and oral cavity cancer (LOCC) represents a significant global health burden, with varying incidence rates across regions and populations. Understanding these trends is crucial for effective resource allocation and the development of targeted public health interventions.
Jing‐Yuan Wang +6 more
wiley +1 more source