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Beta-binomial/gamma-poisson regression models for repeated counts with random parameters
(Brazilian Statistical Association, 2011-07)
Beta-binomial/Poisson models have been used by many authors to model multivariate count data. Lora and Singer [Stat. Med. 27 (2008) 3366-3381] extended such models to accommodate repeated multivariate count data with ...
Multivariate models for correlated count data
(2013-04-18)
In this study, we deal with the problem of overdispersion beyond extra zeros for a collection of counts that can be correlated. Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial distributions ...
Multivariate models for correlated count data
(2013-04-18)
In this study, we deal with the problem of overdispersion beyond extra zeros for a collection of counts that can be correlated. Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial distributions ...
Beta-binomial/Poisson regression models for repeated bivariate counts
(JOHN WILEY & SONS LTD, 2008)
We analyze data obtained from a study designed to evaluate training effects on the performance of certain motor activities of Parkinson`s disease patients. Maximum likelihood methods were used to fit beta-binomial/Poisson ...
Spatiotemporal modeling of count data
(2021)
Modeling spatial and spatio-temporal data is a challenging task in statistics. In many applications, the observed data can be modeled using Gaussian, skew-Gaussian or even restricted random field models. However, in several ...
A multivariate Poisson deep learning model for genomic prediction of count data
(Genetics Society of America, 2020)
Genomic prediction models for count data
(Springer VerlagAmerican Statistical AssociationInternational Biometrics Society, 2019)