Results 61 to 70 of about 20,362 (180)
A note on intrinsic Conditional Autoregressive models for disconnected graphs
, 2017 In this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR) models for disconnected graphs, with the aim of providing practical guidelines for how these models should be defined, scaled and implemented. We show how these suggestions can
Freni-Sterrantino, Anna +2 more
core +1 more source
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 +2 more
wiley +1 more source
Latent Gaussian modeling and INLA: A review with focus on space-time applications [PDF]
, 2016 Bayesian hierarchical models with latent Gaussian layers have proven very flexible in capturing complex stochastic behavior and hierarchical structures in high-dimensional spatial and spatio-temporal data.
Opitz, Thomas
core +2 more sources
A general theory for preferential sampling in environmental networks
, 2019 This paper presents a general model framework for detecting the preferential sampling of environmental monitors recording an environmental process across space and/or time.
Shaddick, Gavin +2 more
core +1 more source
Integrated Nested Laplace Approximations (INLA)
, 2019 This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies on a combination of analytical approximations and efficient numerical integration schemes to achieve ...
Martino, Sara, Riebler, Andrea
openaire +2 more sources
Regulation &Governance, EarlyView.ABSTRACT We perform bibliometric analysis on documents for 255 Regulatory Impact Analyzes (RIAs) prepared by the US Environmental Protection Agency (EPA) from 1980 through 2024. Using a series of automated information extraction methods, we extract references from these documents and match them to bibliographic records.
Tyler A. Scott, Sojeong Kim, Liza Wood
wiley +1 more source
Bayesian joint spatio-temporal analysis of multiple diseases [PDF]
, 2019 In this paper we propose a Bayesian hierarchical spatio-temporal model for the joint analysis of multiple diseases which includes specific and shared spatial and temporal effects.
Fernández-Navarro, Pablo +4 more
core
Tropical Medicine &International Health, EarlyView.ABSTRACT Background Pulmonary tuberculosis (PTB) remains a major public health problem, strongly associated with social and territorial inequalities. This study aimed to analyse temporal trends, spatiotemporal transmission patterns and socioeconomic determinants of PTB in the state of Piauí, Northeast Brazil, from 2001 to 2024.
José Mário Nunes da Silva +2 more
wiley +1 more source
Fisheries Oceanography, Volume 35, Issue 3, Page 445-461, May 2026.ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues +15 more
wiley +1 more source
XGBoost Meets INLA: A Two‐Stage Spatio‐Temporal Forecasting of Wildfires in Portugal
Environmetrics, Volume 37, Issue 3, April 2026.ABSTRACT Wildfires pose a major threat to Portugal, with over 115,000 hectares burned annually on average during 1980–2024, and the country has faced devastating mega‐fires such as those in 2017. Accurate forecasts of wildfire occurrence and burned area are therefore essential for firefighting resource allocation and emergency preparedness.
Chenglei Hu +5 more
wiley +1 more source