Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and Uncertainty

Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and Uncertainty

Conventional regression analysis using the least-squares method has been applied to describe bacterial behavior logarithmically. However, only the normal distribution is used as the error distribution in the least-squares method, and the variability and uncertainty related to bacterial behavior are...

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Bibliographic Details
Main Authors: Satoko Hiura, Hiroki Abe, Kento Koyama, Shige Koseki
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Microbiology
Subjects:
parameter estimation
Bayesian inference
generalized linear model
poisson distribution
negative binomial distribution
model residual
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2021.674364/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2021.674364/full

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