Genome‐based prediction of Bayesian linear and non‐linear regression models for ordinal data
نویسندگان
چکیده
منابع مشابه
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression.
Most genomic-enabled prediction models developed so far assume that the response variable is continuous and normally distributed. The exception is the probit model, developed for ordered categorical phenotypes. In statistical applications, because of the easy implementation of the Bayesian probit ordinal regression (BPOR) model, Bayesian logistic ordinal regression (BLOR) is implemented rarely ...
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ژورنال
عنوان ژورنال: The Plant Genome
سال: 2020
ISSN: 1940-3372,1940-3372
DOI: 10.1002/tpg2.20021