| dc.contributor.author | Fokianos, Konstantinos | en |
| dc.creator | Fokianos, Konstantinos | en |
| dc.date.accessioned | 2019-12-02T10:35:03Z | |
| dc.date.available | 2019-12-02T10:35:03Z | |
| dc.date.issued | 2011 | |
| dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/56799 | |
| dc.description.abstract | We reviewsome regression models for the analysis of count time series. These models have been the focus of several investigations over the last years, but only recently simple conditions for stationarity and ergodicity were worked out in detail. This advancement makes possible the development of the maximum-likelihood estimation theory under minimal assumptions. © 2011 Taylor & Francis. | en |
| dc.source | Statistics | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79551718352&doi=10.1080%2f02331888.2010.541250&partnerID=40&md5=c9cd325b919d2eb76fc069408b91a334 | |
| dc.subject | Volatility | en |
| dc.subject | Autocorrelation | en |
| dc.subject | Stationarity | en |
| dc.subject | Ergodicity | en |
| dc.subject | Perturbation | en |
| dc.subject | Generalized linear models | en |
| dc.subject | Prediction | en |
| dc.subject | Covariates | en |
| dc.title | Some recent progress in count time series | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.identifier.doi | 10.1080/02331888.2010.541250 | |
| dc.description.volume | 45 | |
| dc.description.issue | 1 | |
| dc.description.startingpage | 49 | |
| dc.description.endingpage | 58 | |
| dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
| dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
| dc.type.uhtype | Article | en |
| dc.description.notes | <p>Cited By :18</p> | en |
| dc.source.abbreviation | Statistics | en |
| dc.contributor.orcid | Fokianos, Konstantinos [0000-0002-0051-711X] | |
| dc.gnosis.orcid | 0000-0002-0051-711X | |
