https://orcid.org/0000-0001-5673-6066
References
- Davis, R. A., and H. Liu. 2016. Theory and inference for a class of observation-driven models with application to time series of counts. Statistica Sinica 26:1673–707. doi:10.5705/ss.2014.145t.
- Gamerman, D., and M. West. 1987. An application of dynamic survival models in unemployment studies. The Statistician 36 (2/3):269–74. doi:10.2307/2348523.
- Hawkes, A. G. 1971. Spectra of some self-exciting and mutually exciting point processes. Biometrika 58 (1):83–90. doi:10.1093/biomet/58.1.83.
- Kouřim, T. 2019. Random walks with memory applied to grand slam tennis matches modeling. In Proceedings of MathSport International 2019 Conference (e-Book). Propobos Publications, 220–7.
- Kouřim, T., and P. Volf. 2020. Discrete random processes with memory: Models and applications. Applications of Mathematics 65 (3):271–86. doi:10.21136/AM.2020.0335-19.
- Meeker, W. Q., and L. A. Escobar. 1998. Statistical methods for reliability data. New York: Wiley.
- Moeller, T. A. 2016. Self-exciting threshold models for time series of counts with a finite range. Stochastic Modeling 32:77–98.
- Murphy, S. A., and P. K. Sen. 1991. Time-dependent coefficients in a Cox-type regression model. Stochastic Processes and Their Applications 39 (1):153–80. doi:10.1016/0304-4149(91)90039-F.
- Weiss, C. H. 2018. An introduction to discrete valued time series. New York: Wiley.
- Winkelmann, R. 2008. Econometric analysis of count data. Berlin: Springer.