Bayesian Zero-Inflated Negative Binomial Regression Based on Pólya-Gamma Mixtures
نویسندگان
چکیده
منابع مشابه
Zero inflated Poisson and negative binomial regression models: application in education
Background: The number of failed courses and semesters in students are indicatorsof their performance. These amounts have zero inflated (ZI) distributions. Using ZI Poisson and negative binomial distributions we can model these count data to find the associated factors and estimate the parameters. This study aims at to investigate the important factors related to the educational performance of ...
متن کاملzero inflated poisson and negative binomial regression models: application in education
background: the number of failed courses and semesters in students are indicatorsof their performance. these amounts have zero inflated (zi) distributions. using zi poisson and negative binomial distributions we can model these count data to find the associated factors and estimate the parameters. this study aims at to investigate the important factors related to the educational performance of ...
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A Poisson model typically is assumed for count data, but when there are so many zeroes in the response variable, because of overdispersion, a negative binomial regression is suggested as a count regression instead of Poisson regression. In this paper, a zero-inflated negative binomial regression model with right truncation count data was developed. In this model, we considered a response variab...
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The zero-in ated negative binomial model is used to account for overdispersion detected in data that are initially analyzed under the zero-in ated Poisson model. We consider a frequentist analysis, a jackknife estimator and non-parametric bootstrap for parameter estimation of zero-in ated negative binomial regression models. In addition, an EM-type algorithm is developed to perform maximum like...
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ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2019
ISSN: 1936-0975
DOI: 10.1214/18-ba1132