{"id":655,"global_id":"www.hsu-hh.de\/statistik?id=655","global_id_lineage":["www.hsu-hh.de\/statistik?id=655"],"author":"335","status":"publish","date":"2018-11-08 12:14:02","date_utc":"2018-11-08 11:14:02","modified":"2018-12-26 10:48:47","modified_utc":"2018-12-26 09:48:47","url":"https:\/\/www.hsu-hh.de\/statistik\/event\/integer-valued-max-autoregressive-models","rest_url":"https:\/\/www.hsu-hh.de\/statistik\/wp-json\/tribe\/events\/v1\/events\/655","title":"Tobias A. M\u00f6ller (HSU)","description":"<h1>Integer-valued max-autoregressive models<\/h1>\n<p>The talk addresses an introduction to integer-valued max-autoregressive models. The parameter estimation for such models, e.g., the max-INAR(1) model, seems to be straightforward. The max-INAR(1) model is a Markov chain and maximum likelihood estimation with numerical optimization routines seems to be easily applicable. But if the observed counts attain very large values, numerical issues frustrate this plan. 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