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GODFREY JOSEPH SAQWARE

M.A Statistics (University of Dar es Salaam), College of Social Sciences
Education:

M.A Statistics (University of Dar es Salaam)

Teaching:

Teaching interests:

Probability, Econometrics, Time Series, Data Science and Machine Learning

Research:

Research interests: 

BIG DATA, MACHINE LEARNING, FINANCIAL TIME SERIES

 

Research accounts: 

ORCiD

Publications:

  1. Saqware, G.J, and Ismail, B. (2020). Modelling Volatility in the Stock Market for Accuracy in Forecasting. International Journal of Recent Technology and Engineering (IJRTE), 8 (5)
  2. Msengwa, A. S., Rugaimukamu, D. M., Bwire, B. W., Saqware, G. J., & Kibona, S. E. (2021). Community Perceptions and Experiences on the Use of Oil and Gas in Tanzania Mainland: A Triangulation Method Study. Tanzania Journal of Development Studies, 18(1), 133-150.
  3. Saqware, G.J, and Ismail, B. (2022). Markov-Switching GARCH and Mixture of GARCH-type Models for Accuracy in Forecasting. Statistics and Applications {ISSN 2454-7395 (Online)}. 20(1), 1-15 
  4. Saqware, G.J, and B. Ismail (2022). Deep Learning Methods for The Accurate Modeling and Forecasting of the Indian Stock Market. ICTACT Journal on Soft Computing, Vol. 13(1).
  5. Saqware, G.J, and Ismail, B. (2023). Deep and Machine Learning models for accurate prediction and classification of the selected online shopping Stock Market (Accepted for publication at Aligarh Journal of Statistics)
  6. Saqware, G.J, and Ismail, B. (2023). Hybrid Deep Learning Model integrating Attention Mechanism for the accurate prediction and forecasting of the Cryptocurrency Market. (Under review Journal of Operations Research Forum)

Contacts:

Email: godjose70@yahoo.com

Call: +255 752 240 318