Results 51 to 60 of about 10,870,567 (191)

Using INLA to fit a complex point process model with temporally varying effects – a case study [PDF]

, 2012
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitting complex latent Gaussian models which comprise many statistical models in a Bayesian context, including log Gaussian Cox processes. This paper discusses
Soerbye, S, Illian, Janine Baerbel, Sørbye, Sigrunn Holbek, Illian, Janine Barbel, Rue, Håvard, Hendrichsen, D, Rue, H, Hendrichsen, Ditte Katrine   +7 more
core  

Comparison of inference methods of genetic parameters with an application to body weight in broilers [PDF]

Archives Animal Breeding, 2015
REML (restricted maximum likelihood) has become the standard method of variance component estimation in animal breeding. Inference in Bayesian animal models is typically based upon Markov chain Monte Carlo (MCMC) methods, which are generally flexible but
G. Maniatis, N. Demiris, A. Kranis, G. Banos, A. Kominakis   +4 more
doaj   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

Modelación bayesiana de patrones espacio-temporales de la incidencia acumulada de COVID-19 en municipios de México

Revista Latinoamericana de Población, 2019
El trabajo busca modelar la distribución de la tasa de incidencia acumulada de COVID-19 en los municipios de México a través del ajuste de tres modelos lineales generalizados (en competencia) con efectos espaciales y temporales y función de enlace ...
Gerardo Núñez Medina
doaj   +1 more source

Spatio-Temporal Modeling for Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida

Frontiers in Environmental Science, 2020
Due to the occurrence of more frequent and widespread toxic cyanobacteria events, the ability to predict freshwater cyanobacteria harmful algal blooms (cyanoHAB) is of critical importance for the management of drinking and recreational waters.
Mark H. Myer, Erin Urquhart, Blake A. Schaeffer, John M. Johnston   +3 more
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

Bayesian Inference for multivariate spatial models with INLA [PDF]

Bayesian methods and software for spatial data analysis are well-established now in the broader scientific community generally, and in the spatial data analysis community specifically.
Cameletti, Michela, Rue, Håvard, Gómez Rubio, Virgilio, Bivand, Roger S., Palmí Perales, Francisco   +4 more
core   +2 more sources

Bayesian Inference for Multivariate Spatial Models with R-INLA [PDF]

, 2023
Bayesian methods and software for spatial data analysis are generally well established now in the scientific community. Despite the wide application of spatial models, the analysis of multivariate spatial data using the integrated nested Laplace ...
Bivand, Roger S, Palmí-Perales, Francisco, Gómez-Rubio, Virgilio, Cameletti, Michela, Rue, Haavard   +4 more
core  

Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa

Crime Science
Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers.
Toshka Coleman, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone   +6 more
doaj   +1 more source

The Drivers of Science Referenced in US EPA Regulatory Impact Analyses: Open Access, Professional Popularity, and Agency Involvement

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