Count Time Series: A Methodological Review-Reference-Cited by-同舟云学术

Count Time Series: A Methodological Review

Published:2021-05-04 Issue:535 Volume:116 Page:1533-1547
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Davis Richard A.¹,Fokianos Konstantinos²^ORCID,Holan Scott H.³⁴,Joe Harry⁵,Livsey James⁴,Lund Robert⁶,Pipiras Vladas⁷,Ravishanker Nalini⁸

Affiliation:

1. Department of Statistics, Columbia University, New York, NY;

2. Department of Mathematics and Statistics, University of Cyprus, Nicosia, Cyprus;

3. Department of Statistics, University of Missouri, Columbia, MO;

4. U.S. Census Bureau, Washington, DC;

5. Department of Statistics, University of British Columbia, Vancouver, Canada;

6. Department of Statistics, The University of California—Santa Cruz, Santa Cruz, CA;

7. Department of Statistics and Operations Research, The University of North Carolina at Chapel Hill, Chapel Hill, NC;

8. Department of Statistics, University of Connecticut, Storrs, CT

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1904957

Reference133 articles.

1. Ahmad, A. (2016), “Contributions à l’Éconemétrie des Séries Temporelles à Valeurs Entières,” Ph.D. thesis, University Charles De Gaulle-Lille III, France.

2. Poisson QMLE of Count Time Series Models

3. The multivariate Poisson-log normal distribution

4. Time series for modelling counts from a relapsing-remitting disease: Application to modelling disease activity in multiple sclerosis

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