Identification of the Demand Curve and Forecasts in Subsequent Periods Using the Metropolis-Hastings Algorithm
cris.lastimport.scopus | 2024-09-20T01:31:20Z | |
dc.abstract.en | Purpose: The main purpose of the article is to identify the demand curve and to forecast demand in subsequent periods using the Metropolis-Hastings algorithm. Design/Methodology/Approach: The Metropolis-Hastings algorithm belonging to the Markov Chain Monte Carlo was used to identify the demand curve and to forecast the demand in subsequent periods. This method consists in generating (drawing) a sample in accordance with the modified distribution and the possibility of rejecting a new sample in case of insufficient improvement of the quality index. Findings: The results of the conducted research indicate that the presented solution of generating a sample in accordance with the modified distribution and the possibility of rejecting a new sample in the event of insufficient improvement of the quality index is effective in identifying and forecasting the demand. Practical Implications: The algorithm presented in the article can be used to forecast stays taking into account the product life curve. Originality/Value: A novelty is the use of the Metropolis-Hastings algorithm to identify the demand curve and the forecast of demand in subsequent periods to determine the strategy of long-term products by analyzing the sales volume of the product. | |
dc.affiliation | Transportu i Informatyki | |
dc.contributor.author | Lukasz Golabek | |
dc.contributor.author | Konrad Gauda | |
dc.contributor.author | Krzysztof Zuk | |
dc.contributor.author | Edward Kozlowski | |
dc.date.accessioned | 2024-07-01T06:49:51Z | |
dc.date.available | 2024-07-01T06:49:51Z | |
dc.date.issued | 2021 | |
dc.identifier.doi | 10.35808/ersj/2282 | |
dc.identifier.issn | 1108-2976 | |
dc.identifier.uri | https://repo.akademiawsei.eu/handle/item/347 | |
dc.language | en | |
dc.pbn.affiliation | information and communication technology | |
dc.relation.ispartof | EUROPEAN RESEARCH STUDIES JOURNAL | |
dc.rights | CC-BY-NC-SA | |
dc.subject.en | Machine learning | |
dc.subject.en | Markov Chain Monte Carlo | |
dc.subject.en | Metropolis-Hastings algorithm | |
dc.subject.en | forecasting | |
dc.title | Identification of the Demand Curve and Forecasts in Subsequent Periods Using the Metropolis-Hastings Algorithm | |
dc.type | ReviewArticle | |
dspace.entity.type | Publication | |
oaire.citation.issue | Special Issue 2 | |
oaire.citation.volume | XXIV |
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