Results 41 to 50 of about 21,991 (210)
Modeling and Estimation for Self-Exciting Spatio-Temporal Models of Terrorist Activity [PDF]
, 2017 Spatio-temporal hierarchical modeling is an extremely attractive way to model the spread of crime or terrorism data over a given region, especially when the observations are counts and must be modeled discretely.
Clark, Nicholas +2 more
core +4 more sources
Molecular detection of Listeria monocytogenes from aborted women [PDF]
Journal of Bioscience and Applied ResearchAbortion, an involuntary and spontaneous termination of pregnancy, can be influenced by various factors, including potentially unknown ones. Bacterial infections play a significant role in some cases.
Rahma majid Kamel +4 more
doaj +1 more source
Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R
Journal of Statistical Software, 2020 Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife surveys.
Timothy D. Meehan +2 more
doaj +1 more source
Discrete versus continuous domain models for disease mapping [PDF]
, 2019 The main goal of disease mapping is to estimate disease risk and identify high-risk areas. Such analyses are hampered by the limited geographical resolution of the available data.
Konstantinoudis, Garyfallos +3 more
core +2 more sources
Bayesian computing with INLA: New features [PDF]
Computational Statistics & Data Analysis, 2013 The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA. In this paper we formalize new developments in the R-INLA package and show how these features greatly extend the scope of models ...
Martins, Thiago G. +3 more
openaire +4 more sources
Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model [PDF]
, 2018 Bayesian calibration of computer models tunes unknown input parameters by comparing outputs with observations. For model outputs that are distributed over space, this becomes computationally expensive because of the output size.
Alexander M. J. +6 more
core +2 more sources
Bayesian Multivariate Spatial Models for Lattice Data with INLA
Journal of Statistical Software, 2021 The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference. The multivariate spatial models implemented include different struc-tures to model the spatial variation of the variables and the between-variables variability.
Palmí-Perales, Francisco +2 more
openaire +4 more sources
International Journal of Applied Mathematics, Sciences, and Technology for National DefenseThe number of malaria cases in Indonesia has increased in recent years. The highest malaria cases in Indonesia are in the eastern region, namely Papua Province, where in 2021 there were 86,022 cases.
Kirana Azzahra +2 more
doaj +1 more source
PLoS Pathogens, 2012 Intestinal Listeria monocytogenes infection is not efficient in mice and this has been attributed to a low affinity interaction between the bacterial surface protein InlA and E-cadherin on murine intestinal epithelial cells. Previous studies using either
Elsa N Bou Ghanem +5 more
doaj +1 more source
TMB: Automatic Differentiation and Laplace Approximation [PDF]
, 2015 TMB is an open source R package that enables quick implementation of complex nonlinear random effect (latent variable) models in a manner similar to the established AD Model Builder package (ADMB, admb-project.org).
Bell, Brad +4 more
core +4 more sources