Abstract
This work presents a construction of stationary Markov models with negative-binomial marginal distributions. A simple closed form expression for the corresponding transition probabilities is given, linking the proposal to well-known classes of birth and death processes and thus revealing interesting characterizations. The advantage of having such closed form expressions is tested on simulated and real data.
| Original language | English |
|---|---|
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Statistics and Probability Letters |
| Volume | 152 |
| Early online date | 17 Apr 2019 |
| DOIs | |
| Publication status | Published - Sept 2019 |
Funding
We thank the Editor, Associate Editor and an anonymous reviewer for the useful comments which significantly improved the presentation and quality of the paper. Fabrizio Leisen was supported by the European Community’s Seventh Framework Programme [FP7/2007–2013] under grant agreement no: 630677 . Ramsés H. Mena gratefully acknowledges the support of CONTEX, Mexico project 2018-9B . Freddy Palma acknowledge the support of CONACT project 241195 . Luca Rossini has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no 796902 .
| Funders | Funder number |
|---|---|
| CONACT | |
| CONTEX | 2018-9B |
| Horizon 2020 Framework Programme | |
| H2020 Marie Skłodowska-Curie Actions | |
| Seventh Framework Programme | 796902, 630677 |
| Seventh Framework Programme | |
| Horizon 2020 | 241195 |
Keywords
- Birth and death process
- Integer-valued time series model
- Negative-binomial distribution
- Stationary model