Results 61 to 70 of about 5,528 (174)

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

Mapping Escolar (Lepidocybium flavobrunneum) in Motion: Oceanographic Forces Shaping Its Habitat in the Southwestern South Atlantic, With Insights From Fishers' Perceptions

Fisheries Oceanography, EarlyView.
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, Maria Grazia Pennino, Paul Gerhard Kinas, David Conesa, Alba Fuster‐Alonso, Andrés Domingo, Rodrigo Forselledo, Federico Mas, Bruno Mourato, Rodrigo Sant'Ana, Vinni Santos Thykjaer, Raquel Virginia Marquez Marquez, Abner Ventura Alves, Mariano Cabanillas‐Torpoco, Rafael Schroeder, Luis Gustavo Cardoso   +15 more
wiley   +1 more source

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

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

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

Spatio‐temporal occupancy models with INLA

Methods in Ecology and Evolution
Modern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have become a popular choice for analysing species occurrence data due to their ability to separate out
Jafet Belmont, Sara Martino, Janine Illian, Håvard Rue   +3 more
doaj   +1 more source

Identifying the climatic drivers of honey bee disease in England and Wales

Scientific Reports, 2021
Honey bee colony health has received considerable attention in recent years, with many studies highlighting multifactorial issues contributing to colony losses.
Ben W. Rowland, Stephen P. Rushton, Mark D. F. Shirley, Mike A. Brown, Giles E. Budge   +4 more
doaj   +1 more source

Skewed Probit Regression

Revstat Statistical Journal, 2021
Skewed probit regression is but one example of a statistical model that generalizes a simpler model, like probit regression. All skew-symmetric distributions and link functions arise from symmetric distributions by incorporating a skewness parameter ...
Janet van Niekerk , Håvard Rue
doaj   +1 more source

Graphical outputs and Spatial Cross-validation for the R-INLA package using INLAutils

, 2020
Statistical analyses proceed by an iterative process of model fitting and checking. The R-INLA package facilitates this iteration by fitting many Bayesian models much faster than alternative MCMC approaches. As the interpretation of results and model objects from Bayesian analyses can be complex, the R package INLAutils provides users with easily ...
Lucas, Tim, Python, Andre, Redding, David   +2 more
openaire   +2 more sources

A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT The analysis of spatiotemporal data is fundamental across multiple scientific disciplines, particularly in assessing the behavior of climate effects over space and time. A key challenge in this area is effectively capturing recurring climate phenomena, such as El Niño/La Niña (ENSO) phases, which induce prolonged periods of similar weather ...
David H. da Matta, Mariana R. Motta, Nancy L. Garcia, Alexandre B. Heinemann   +3 more
wiley   +1 more source