Flexible INAR(1) models for equidispersed, underdispersed or overdispersed counts-Reference-Cited by-同舟云学术

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Flexible INAR(1) models for equidispersed, underdispersed or overdispersed counts

Published:2022-08-31 Issue:4 Volume:51 Page:1268-1301
ISSN:1226-3192
Container-title:Journal of the Korean Statistical Society
language:en
Short-container-title:J. Korean Stat. Soc.

Author:

Kang Yao,Wang Dehui,Lu Feilong,Wang Shuhui

Funder

National Natural Science Foundation of China

Postdoctoral Research Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s42952-022-00186-0.pdf

Reference29 articles.

1. Alzaid, A. A., & Al-Osh, M. A. (1987). First-order integer-valued autoregressive (INAR(1)) process. Journal of Time Series Analysis, 8, 261–275.

2. Barreto-Souza, W. (2019). Mixed Poisson INAR(1) processes. Statistical Papers, 60, 2119–2139.

3. Borges, P., Molinares, F. F., & Bourguignon, M. (2016). A geometric time series model with inflated-parameter Bernoulli counting series. Statistics and Probability Letters, 119, 264–272.

4. Bourguignon, M., & Vasconcellos, K. L. (2015). First-order non-negative integer valued autoregressive processes with power series innovations. Brazilian Journal of Probability and Statistics, 29, 71–93.

5. Bourguignon, M., Rodrigues, J., & Santosneto, K. (2019). Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion. Journal of Applied Statistics, 46, 101–118.

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