Results 111 to 120 of about 14,253 (214)
Improving the INLA approach for approximate Bayesian inference for latent Gaussian models
We introduce a new copula-based correction for generalized linear mixed models (GLMMs) within the integrated nested Laplace approximation (INLA) approach for approximate Bayesian inference for latent Gaussian models.
Ferkingstad, Egil, Rue, Håvard
core +1 more source
ABSTRACT Background and Aims Meningitis remains a global health challenge, characterized by substantial regional and etiologic disparities. This study aimed to analyze recent trends, forecast future burden, and examine the influence of development status on meningitis outcomes.
Mehdi Azizmohammad Looha +4 more
wiley +1 more source
ABSTRACT Sexually transmitted infections (STIs) remain a major global health threat. A comprehensive assessment of their epidemiological features and future trajectories is essential for informing targeted public health policies and achieving international control targets.
Baigong Feng +5 more
wiley +1 more source
New opportunities for grassland species in warming temperate winters
Read the free Plain Language Summary for this article on the Journal blog. Abstract Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during ...
F. Curtis Lubbe +3 more
wiley +1 more source
An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics
Phylodynamics focuses on the problem of reconstructing past population size dynamics from current genetic samples taken from the population of interest.
Karcher, Michael +4 more
core +2 more sources
We provide a framework for extending commonly used integrated population models to a metapopulation framework for testing novel ecological hypotheses about how changing environmental conditions within and among subpopulations drive changes in animal abundance.
Alexander R. Schindler +5 more
wiley +1 more source
Interpretable statistics for complex modelling: quantile and topological learning [PDF]
As the complexity of our data increased exponentially in the last decades, so has our need for interpretable features. This thesis revolves around two paradigms to approach this quest for insights.
Padellini, Tullia
core
Generalisations of Fisher Matrices
Fisher matrices play an important role in experimental design and in data analysis. Their primary role is to make predictions for the inference of model parameters - both their errors and covariances.
Heavens, Alan
core +2 more sources
This research emphasizes the visualization of spatial data for statistical modelling and analysis of the relative risk associated with the COVID-19 pandemic in Alabama, USA. We used Bayesian analysis and the Integrated Nested Laplace Approximation (INLA)
Getachew Engidaw, György Terdik
doaj +1 more source
Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA)
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

