Results 61 to 70 of about 14,233,615 (186)

Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

Geospatial Health, 2022
The prevalence and use of contraceptive methods is an essential element to explain the behaviour of fertility and population growth. The objective of this study was to analyse the spatial correlation between the use of contraceptive methods in women of ...
Gerardo Núñez Medina
doaj   +1 more source

Estimating Velocities of Infectious Disease Spread Through Spatio‐Temporal Log‐Gaussian Cox Point Processes

International Statistical Review, EarlyView.
Summary Understanding the spread of infectious diseases such as COVID‐19 is crucial for informed decision‐making and resource allocation. A critical component of disease behaviour is the velocity with which disease spreads, defined as the rate of change between time and space.
Fernando Rodriguez Avellaneda, Jorge Mateu, Paula Moraga   +2 more
wiley   +1 more source

Global Burden of Key Components of Cardiovascular–Kidney–Metabolic Syndrome Among Women of Reproductive Age, 1990–2021

Journal of Evidence-Based Medicine, EarlyView.
ABSTRACT Objective Cardiovascular–kidney–metabolic (CKM) syndrome links metabolic, kidney, and cardiovascular disorders, but its burden among women of reproductive age (WRA) remains poorly understood. We quantified the global burden and trends of key CKM‐related conditions and high body mass index (BMI)‐attributable burden among WRA.
Cuiping Jiang, Jieyuzhen Qiu, Chuanli Wei, Enhui Zhou, Huaming Zhu, Weijun Huang, Tianjiao Zhou, Ji Hu   +7 more
wiley   +1 more source

Bayesian Inference for the Automultinomial Model With an Application to Landcover Data

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT Multicategory lattice data arise in a wide variety of disciplines such as image analysis, biology, and forestry. We consider modeling such data with the automultinomial model, which can be viewed as a natural extension of the autologistic model to multicategory responses, or equivalently as an extension of the Potts model that incorporates ...
Maria Paula Duenas‐Herrera, Stephen Berg, Murali Haran   +2 more
wiley   +1 more source

Bayesian spatial prediction of soil organic carbon stocks in eastern DRC using INLA-SPDE and environmental covariates

Environmental Challenges
Soil organic carbon (SOC) plays a critical role in climate mitigation and agricultural sustainability, yet its spatial distribution in the eastern Democratic Republic of the Congo (DRC) remains poorly quantified.
Alain Matazi Kangela, Bitaisha Nakishuka Shukuru, Serge Mugisho Mukotanyi, Gerard Imani, Yannick Mugumaarhama, Daniel Muhindo Iragi, Dieudonné Shamamba Bahati, Janvier Bigabwa Bashagaluke, Wivine Munyahali   +8 more
doaj   +1 more source

A Bayesian Hierarchical Spatiotemporal Model With Physical Barriers for Extreme Sea‐Level Prediction in Ireland

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT Rising seas raise the vulnerability of coastal regions through higher extreme sea levels. This paper estimates extreme sea levels at gauged and ungauged coastal locations around Ireland and the West Coast of Great Britain, using a Bayesian hierarchical extreme‐value model with spatiotemporal random effects. The annual maxima of tidal residuals
Fernando Mayer, Niamh Mimnagh, Niamh Cahill   +2 more
wiley   +1 more source

Modeling multivariate positive‐valued time series using R‐INLA

Applied Stochastic Models in Business and Industry
AbstractIn this article, we describe fast Bayesian statistical analysis of vector positive‐valued time series, with application to interesting financial data streams. We discuss a flexible level correlated model (LCM) framework for building hierarchical models for vector positive‐valued time series.
Dutta, Chiranjit, Ravishanker, Nalini, Basu, Sumanta   +2 more
openaire   +2 more sources

Models for Temporal Clustering of Extreme Events With Applications to Mid‐Latitude Winter Cyclones

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT The occurrence of extreme events like heavy precipitation or storms at a certain location often shows a clustering behavior and is thus not described well by a Poisson process. We construct a general model for the inter‐exceedance times (IETs) in between extreme events which combines different candidate models for such behavior. One of them is
Christina Mathieu, Merle Mendel, Katharina Hees, Roland Fried   +3 more
wiley   +1 more source

An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA

, 2022
Various computational challenges arise when applying Bayesian inference approaches to complex hierarchical models. Sampling-based inference methods, such as Markov Chain Monte Carlo strategies, are renowned for providing accurate results but with high computational costs and slow or questionable convergence.
Chiuchiolo, Cristian, van Niekerk, Janet, Rue, Håvard   +2 more
openaire   +2 more sources

Spatiotemporal modeling of ecological and sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes

Ecosphere, 2017
Suffolk County, New York, is a locus for West Nile virus (WNV) infection in the American northeast that includes the majority of Long Island to the east of New York City.
Mark H. Myer, Scott R. Campbell, John M. Johnston   +2 more
doaj   +1 more source