A threshold modeling for nonlinear time series of counts: application to COVID-19 data

Author:

Shamma Nisreen,Mohammadpour Mehrnaz,Shirozhan Masoumeh

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference29 articles.

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2. Chen CWS, Lee S (2017) Bayesian causality test for integer-valued time series models with applications to climate and crime data. J R Stat Soc Ser C Appl Stat 66:797–814

3. Fernandes FH, Bourguignon M, Ho LL (2020) Control charts to monitor integer valued autoregressive process with inflation or deflation of zeros. J Stat Manag Syst 23(8):1463–1484

4. Franke J, Seligmann T (1993) Conditional maximum likelihood estimates for INAR(1) processes and their application to modelling epileptic seizure counts. In: Subba Rao T (ed) Developments in time series analysis. Chapman and Hall, London, pp 310–330

5. Homburg A, Weiß CH, Alwan LC, Frahm G, Göb R (2019) Evaluating approximate point forecasting of count processes. Econom MDPI 7(3):1–28

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