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Some recent progress in count time series

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>2011
<mark>Journal</mark>Statistics:A Journal of Theoretical and Applied Statistics
Issue number1
Volume45
Number of pages10
Pages (from-to)49-58
Publication statusPublished
Early online date6/02/11
Original languageEnglish

Abstract

We review some 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.