Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems

DOI10.2436/20.8080.02.52zbMath1378.62135OpenAlexW2718228732MaRDI QIDQ4591491

Luis Rubio, Carmen Armero, E. Lázaro

Publication date: 17 November 2017

Full work available at URL: https://ddd.uab.cat/pub/sort/sort_a2017m1-6v41n1/sort_a2017m1-6v41n1p93.pdf

zbMATH Keywords

sensitivity analysisHellinger distancemodel robustnessrisk infectionvirus epidemiology

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Uses Software

• WinBUGS
• BUGS

Cites Work

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• Sensitivity analysis for Bayesian hierarchical models
• Improving crop model inference through Bayesian melding with spatially varying parameters
• Sensitivity analysis in Bayesian generalized linear mixed models for binary data
• Bayesian Modeling Using WinBUGS
• Mapping Ancient Forests: Bayesian Inference for Spatio-Temporal Trends in Forest Composition Using the Fossil Pollen Proxy Record
• Bayesian Analysis of Binary and Polychotomous Response Data
• A comparison of Bayesian and likelihood-based methods for fitting multilevel models

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