Genomic prediction models for count data

DOI10.1007/s13253-015-0223-4zbMath1329.62445OpenAlexW1870014636WikidataQ58895996 ScholiaQ58895996MaRDI QIDQ906073

N. E. Zubov

Publication date: 29 January 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-015-0223-4

zbMATH Keywords

Bayesian analysiscount dataGibbs samplerdata augmentationgenomic prediction

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20)

Uses Software

• R
• BayesLogit
• BayesDA

Cites Work

• Sampling-Based Approaches to Calculating Marginal Densities
• Bayesian Measures of Model Complexity and Fit
• Bayesian Analysis of Binary and Polychotomous Response Data
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
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