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]
Asmarian N +3 more
europepmc +1 more source
Modelos bayesianos para modelos geoestadísticos. Mapeo digital de suelos con R-INLA
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
We give an overview of some of the software tools available in R, either as built- in functions or contributed packages, for the analysis of state space models.
Sonia Petrone, Giovanni Petris
core
Spatial Dependency in Methylation Data - A Bayesian Approach with R-INLA
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
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 +2 more
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Advancing multilevel Bayesian networks with efficient Bayesian inference. [PDF]
Yirdaw BE +3 more
europepmc +1 more source
Clustering and Source Association of Clinical and Nonclinical Listeria monocytogenes Isolates, New York, USA, 2000-2021<sup>1</sup>. [PDF]
Samut H +12 more
europepmc +1 more source
inlamemi: An R package for missing data imputation and measurement error modelling using INLA [PDF]
Measurement error and missing data in variables used in statistical models are common, and can at worst lead to serious biases in analyses if they are ignored.
Muff, Stefanie, Skarstein, Emma
core
Protocol for spatiotemporal analysis of climate-induced negative sentiment in social media. [PDF]
Al-Ahdal T +3 more
europepmc +1 more source
A Bayesian spline-augmented piecewise exponential model with spatial frailty for under-five mortality in Nigeria. [PDF]
Omaku PE, Braimah JO, Correa FM.
europepmc +1 more source

