Autoregressive and moving average models for zero‐inflated count time series

Author:

Sathish Vurukonda1,Mukhopadhyay Siuli2ORCID,Tiwari Rashmi2

Affiliation:

1. Department of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

2. Department of Mathematics Indian Institute of Technology Bombay Mumbai India

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference58 articles.

1. Count and duration time series with equal conditional stochastic and mean orders;Aknouche A.;Econometric Theory,2021

2. Generalized autoregressive moving average models;Benjamin M. A.;Journal of the American Statistical Association,2003

3. Generalized seasonal autoregressive integrated moving average models for count data with application to malaria time series with low case numbers;Briët O. J.;PLoS One,2013

4. Monte Carlo EM estimation for time series models involving counts;Chan K. S.;Journal of the American Statistical Association,1995

5. Dynamic generalized linear models with application to environmental epidemiology;Chiogna M.;Applied Statistics,2002

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