Results 101 to 110 of about 5,732 (193)

Modelos bayesianos para modelos geoestadísticos. Mapeo digital de suelos con R-INLA

, 2021
El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica. Utiliza modelos de predicción espacial que explican la relación que existe entre la variable de interés y covariables sitio-especificas. Entre los modelos estadísticos más incipientes en aplicaciones de MDS se encuentra la regresión bayesiana ajustada ...
openaire   +1 more source

sdmTMB: An R Package for Fast, Flexible, and User-Friendly Generalized Linear Mixed Effects Models with Spatial and Spatiotemporal Random Fields

Journal of Statistical Software
Geostatistical spatial or spatiotemporal data are common across scientific fields. However, appropriate models to analyze these data, such as generalized linear mixed effects models (GLMMs) with Gaussian Markov random fields (GMRFs), are computationally ...
Sean C. Anderson, Eric J. Ward, Philina A. English, Lewis A. K. Barnett, James T. Thorson   +4 more
doaj   +1 more source

spGARCH: An R-Package for Spatial and Spatiotemporal ARCH models

, 2018
In this paper, a general overview on spatial and spatiotemporal ARCH models is provided. In particular, we distinguish between three different spatial ARCH-type models. In addition to the original definition of Otto et al.
Otto, Philipp
core  

Spatio-temporal characteristics of Tuberculosis in Ghana [version 3; peer review: 1 approved, 2 approved with reservations]

F1000Research
Background Tuberculosis (TB) continues to be a prominent contributor to global mortality, standing as the second most fatal infectious disease and holding the seventh position among the top ten causes of death in Ghana.
Francis Kwame Bukari, Emmanuel A. Amikiya, Abdul-Karim Iddrisu   +2 more
doaj   +1 more source

Estimating effects of ocean environmental conditions on summer flounder (Paralichthys dentatus) distribution using R-INLA

Abstract The spatial distribution of summer flounder (Paralichthys dentatus) in relative abundance in survey samples differs over time with changes in environmental factors, such as bottom depth, bottom salinity, bottom temperature and sea surface temperature (SST).
Samar Deen, Verena Jauss, Patrick Sullivan   +2 more
openaire   +1 more source

Bayesian hierarchical spatiotemporal modelling of tuberculosis—Human immunodeficiency virus co-infection in Ethiopia

Scientific African
Understanding the epidemiological patterns of tuberculosis-human immunodeficiency virus (TB-HIV) co-infection over space and time is crucial because it assists in identifying areas with high risks that need special control strategies.
Legesse Kassa Debusho, Leta Lencha Gemechu   +1 more
doaj   +1 more source

Bayesian Spatial Joint Model for Disease Mapping of Zero-Inflated Data with R-INLA: A Simulation Study and an Application to Male Breast Cancer in Iran. [PDF]

Int J Environ Res Public Health, 2019
Asmarian N, Ayatollahi SMT, Sharafi Z, Zare N.   +3 more
europepmc   +1 more source

Spatial and spatio-temporal county-level trends in COVID-19 mortality and emergency department visits in U.S. with R-INLA. [PDF]

Spat Spatiotemporal Epidemiol
Khan D, Panaggio MJ, Gallagher ME, Graff P, Broeker L, Weng M, Ahmad F, Sheppard M.   +7 more
europepmc   +1 more source

Spatial Dependency in Methylation Data - A Bayesian Approach with R-INLA

, 2016
DNA methylation is a chemical process that regulates gene transcription and is known to interact with development and differentiation of the DNA. It affects almost exclusively CpG sites, and with the Illumina HumanMethylation$450$k BeadChip we are able to measure the methylation level for more than $450 000$ CpG sites in the human DNA. The locations of
openaire   +1 more source

Large-scale phenotyping and comparative genomics reveal genetic features of Listeria persistence in epithelial cells. [PDF]

PLoS Pathog
Lotoux A, Bertrand M, Douarre PE, Kortebi M, Riveiro H, Palma F, Lakisic G, Fox EM, Guillier L, Oevermann A, Roussel S, Bierne H, Pagliuso A, Milohanic E.   +13 more
europepmc   +1 more source