Time Series Regression for Zero-Inflated and Overdispersed Count Data: A Functional Response Model Approach

M. Ghahramani; S. S. White

doi:10.1007/s42519-020-00094-8

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Time Series Regression for Zero-Inflated and Overdispersed Count Data: A Functional Response Model Approach

M. Ghahramani S. S. White

Year: 2020 Journal: Journal of Statistical Theory and Practice Vol: 14 (2) Publisher: Springer Nature

DOI: 10.1007/s42519-020-00094-8

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Keywords:

Overdispersion Mathematics Count data Negative binomial distribution Quasi-likelihood Statistics Econometrics Series (stratigraphy) Zero-inflated model Time series Regression analysis Parametric statistics Applied mathematics Poisson regression Poisson distribution Population

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Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Survey Sampling and Estimation Techniques

Physical Sciences → Mathematics → Statistics and Probability

Time Series Regression for Zero-Inflated and Overdispersed Count Data: A Functional Response Model Approach

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