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  • Different period time series forecasts integration as a tool of increasing the accuracy of stock return prediction

    Grigorij Žilinskij
    DOI https://doi.org/10.3846/bm.2012.039
    Page 1-7
    2012-01-01
  • The actual predictive power of bankruptcy models in terms of time use

    Michal Kuběnka , Irena Honková , František Sejkora , Martin Mlázovský
    DOI https://doi.org/10.3846/bm.2024.1302
    Page 1-6
    2024-03-18
  • Study of different data science methods for demand prediction and replenishment forecasting at retail network

    Aleksei Iurasov, Giedre Stanelyte
    DOI https://doi.org/10.3846/bm.2020.604
    Page 1-10
    2020-04-01
  • Strategic use of artificial intelligence in enterprise supply chain management

    Giedrius Čyras, Vita Marytė Janušauskienė
    DOI https://doi.org/10.3846/bm.2025.1453
    Page 1-9
    2025-03-02
  • Investigation of exchange market prediction model based on high-low daily data

    Jelena Stankevičienė, Nijolė Maknickienė, Algirdas Maknickas
    DOI https://doi.org/10.3846/bm.2014.040
    Page 1-8
    2014-01-01
  • Predicting the Albanian economic development using multivariate Markov chain model

    Eralda Gjika (Dhamo), Lule Basha, Xhensilda Allka, Aurora Ferrja
    DOI https://doi.org/10.3846/bm.2020.581
    Page 1-7
    2020-04-01
1 - 6 of 6 items

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