Predicting Crude Oil Price in Nigeria with Machine Learning Models - Ogundunmade, Tayo;Adepoju, Adedayo;Allam, Abdelaziz
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The rise in crude oil prices yields serious consequences for both oil-producing and nonoil-producing countries. The increase in global commodity prices contributes to the financial income and foreign exchange reserves of oil-exporting countries. However, countries such as Nigeria that sell crude oil and purchase refined fuel confront more complicated situations. To this end, there exists a need to obtain a robust prediction model for the crude oil price of Nigeria.

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Produktbeschreibung
The rise in crude oil prices yields serious consequences for both oil-producing and nonoil-producing countries. The increase in global commodity prices contributes to the financial income and foreign exchange reserves of oil-exporting countries. However, countries such as Nigeria that sell crude oil and purchase refined fuel confront more complicated situations. To this end, there exists a need to obtain a robust prediction model for the crude oil price of Nigeria.
Autorenporträt
Tayo est statisticien informaticien à l'Université d'Ibadan. Son domaine de recherche est la sécurité et la reconnaissance d'images à l'aide de réseaux neuronaux profonds. Il est également coordinateur principal de la recherche et de la formation et consultant au Laboratoire d'analyse statistique interdisciplinaire (UI-LISA). Il est membre de la communauté Black in AI.