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:
- 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)
- 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.
- 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
- 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).
- 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)
- 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
