Data on Operations Science Described by Researchers at University of New South Wales Sydney (Modelling and Understanding Count Processes Through a Markov-modulated Non-homogeneous Poisson Process Framework)
2021 APR 07 (NewsRx) -- By a
Funders for this research include
Our news journalists obtained a quote from the research from the
According to the news editors, the research concluded: “This modelling framework is demonstrated using a large insurance data set to illustrate theoretical, practical and computational contributions and an empirical comparison to other count models highlight the advantages of the proposed approach.”
This research has been peer-reviewed.
For more information on this research see: Modelling and Understanding Count Processes Through a Markov-modulated Non-homogeneous Poisson Process Framework.
Our news journalists report that additional information may be obtained by contacting
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.ejor.2020.07.022. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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