[HTML][HTML] Natural resource extraction-Sustainable development relationship and energy productivity moderation in resource-rich countries: A panel Bayesian …

M De Sisto, S Ul-Durar, N Arshed, M Iqbal… - Journal of Cleaner …, 2024 - Elsevier
Social development is essential for improving quality of life, fostering stability, driving
economic growth, achieving sustainable goals, enhancing human capital, encouraging civic …

BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data

S Xu, J Williams, MAR Ferreira - BMC bioinformatics, 2023 - Springer
Background Genome-wide association studies (GWASes) aim to identify single nucleotide
polymorphisms (SNPs) associated with a given phenotype. A common approach for the …

Gaussian spatial hierarchical models with ICAR priors

EM Porter, CT Franck, MAR Ferreira - Modeling Spatio-Temporal …, 2024 - taylorfrancis.com
Chapter 2 summarizes recent developments related to intrinsic conditional autoregressive
(ICAR) models for Gaussian areal data that make inference for these models fast, automatic …

Model Selection in Generalized Linear Models

A Mamun, S Paul - Symmetry, 2023 - mdpi.com
The problem of model selection in regression analysis through the use of forward selection,
backward elimination, and stepwise selection has been well explored in the literature. The …

Variable selection for generalized linear mixed models and non-Gaussian Genome-wide associated study data

S Xu - 2024 - vtechworks.lib.vt.edu
Genome-wide associated study (GWAS) aims to identify associated single nucleotide
polymorphisms (SNP) for phenotypes. SNP has the characteristic that the number of SNPs is …

Objective Priors for Spatio-Temporal Models

MAR Ferreira - Modeling Spatio-Temporal Data - taylorfrancis.com
One important aspect in the practical implementation of spatio-temporal models is the choice
of priors for the hyperparameters. Because many spatio-temporal models are built as highly …

[PDF][PDF] Bayesian model selection in meta-analysis

BCC Rover, T Friede - medstat.umg.eu
Let yi denote the observed value in the ith study and θi the corresponding true parameter.
We assume that yi= θi+ εi,(1) where εi∼ N (0, νi) denotes the sampling error and εi the …