Results 61 to 70 of about 3,927,001 (165)

Bayesian Computing with INLA: A Review [PDF]

, 2016
The key operation in Bayesian inference is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to Pierre-Simon Laplace (1774).
Simpson, Daniel P., Riebler, Andrea, Sørbye, Sigrunn Holbek, Lindgren, Finn Kristian, Simpson, Daniel Peter, Illian, Janine, Lindgren, Finn; id_orcid, Lindgren, Finn K., Illian, Janine B., Rue, Håvard, Sørbye, Sigrunn H., Riebler, Andrea Ingeborg   +11 more
core   +1 more source

High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity

Geophysical Research Letters
Understanding the generation of damaging, high‐frequency ground motions during earthquakes is essential both for fundamental science and for effective hazard preparation.
Avigyan Chatterjee, Daniel T. Trugman, Greg Hirth, Jaeseok Lee, Victor C. Tsai   +4 more
doaj   +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 Spatiotemporal Model for Joint Estimation of Brain Activation and Connectivity in fMRI Studies

Statistics in Medicine, Volume 45, Issue 20-22, September 2026.
ABSTRACT Task‐based functional magnetic resonance imaging (fMRI) experiments play a crucial role in modern data‐driven neuroscience research. These studies often aim to understand how external stimuli trigger activation in specific brain regions and to explore functional connectivity patterns among predefined regions, commonly referred to as regions of
Parisa Naseri, Yuliya Shapovalova, Ioan Gabriel Bucur, Charlotte Cambier van Nooten, Giancarlo Valente, Tom Heskes   +5 more
wiley   +1 more source

Spatial and spatio-temporal models with R-INLA [PDF]

, 2013
During the last three decades, Bayesian methods have developed greatly in the field of epidemiology. Their main challenge focusses around computation, but the advent of Markov Chain Monte Carlo methods (MCMC) and in particular of the WinBUGS software has
Baio, G, Blangiardo, M, Cameletti, M, Rue, H   +3 more
core   +3 more sources

Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA

Acta Technica Jaurinensis
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

Joint Models of Two Longitudinal Biomarkers and Clustered Survival Data for Cluster‐Informed Dynamic Prediction With Application to Periodontitis

Statistics in Medicine, Volume 45, Issue 20-22, September 2026.
ABSTRACT Joint modeling of longitudinal data and time‐to‐event data have been extended to accommodate multilevel data structures. In dental studies, data often exhibit a multilevel hierarchy: each patient has multiple teeth, and one or more biomarkers are measured repeatedly over time for each tooth.
Sean Xinyang Feng, Laurent Briollais, Aya A. Mitani   +2 more
wiley   +1 more source

Multivariate Posterior Inference for Spatial Models with the Integrated Nested Laplace Approximation

, 2018
Summary The integrated nested Laplace approximation (INLA) is a convenient way to obtain approximations to the posterior marginals for parameters in Bayesian hierarchical models when the latent effects can be expressed as a Gaussian Markov
Virgilio Gómez-Rubio, Francisco Palmí-Perales   +1 more
core   +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, Volume 19, Issue 3, September 2026.
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

Mapping spatial drivers of rice productivity: A case study of Inpari 36 and 37 in West Java with BYM2-INLA

Journal of Geospatial Science and Analytics
West Java is one of Indonesia’s largest rice-producing provinces. However, rice production has declined by 23.07% since 2018 due to land conversion. Therefore, this study investigates the factors influencing rice productivity by modeling and mapping the ...
I Putu Aditya Brama Putra Cakra Negara, Abdul Fakhar Ramadhani, Ahmad Abdurrazzaq   +2 more
doaj   +1 more source