BIOGRAPHY
Samir K. Safi earned, a BS in Statistics and Scientific Computations (1993) from the Al Mansour University in Egypt, a MS in Statistics (1998), and a PhD in Statistics 2004) from the American University in Washington DC. His research interests are Regression and Time Series Forecasting. He has worked on computer simulations of time series models to determine the efficiency of Artificial Neural Networks ANNs. Currently, Dr. Safi is working on a mixed data sampling (MIDAS) regression model with multiple variables of different frequencies, including the model selection based on information criterion and obtaining a forecast aggregation of different MIDAS regression models. His work in Statistics has resulted in 50+ publications. He received multiple awards from the UAEU, including the Summer Undergraduate Research Experience in 2023 and 2024, and the College of Business and Economics Annual Research Program in 2022 and 2024. He also granted the Summer Research Collaboration Leave in 2021 and 2022. Additionally, he held a Departmental Instructorship at the American University in Washington, DC, from 2000 to 2004. Furthermore, he was supported by the Arab Student Aid International between 2001 and 2004 and the Karim Rida Said Foundation from 1997 to 1998.
EDUCATION
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Doctorate Degree, PhD in Statistics, Statistics, American University, 2004
RESEARCH AREAS
- Time Series Analysis and Forecasting methods
- Regression Modeling
- Econometrics models
RECENT PUBLICATIONS
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(2024). "Comparative Computer Simulation and Empirical Analysis of MIDAS and Artificial Neural Network-UMIDAS Models for Short and Long-Term USA GDP Forecasting". Co-Authors: Sanusi, O. I.; Arif, A
. Competitiveness Review. .
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(2022). "Forecasting the Impact of COVID-19 Epidemic on China Exports Using Different Time Series Models". Co-Authors: Olajide S.; & Tabash, M
. Advances in Decision Sciences. 26.
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(2022). "Can oil price predict exchange rate? Empirical Evidence from Deep Learning". Co-Authors: Salisu Aliyu; Kekere Sule Ibrahim; Olajide S. Sanusi. International Journal of Energy Economics and Policy. 12.
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(2022). "Forecasting agricultural commodity price using different models: a case study of widely consumed grains in Nigeria". Co-Authors: Olajide S.; Omotara Adeeko; & Tabash, M
. Agricultural and Resource Economics: International Scientific E-Journal. 8.
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(2021). "A hybrid of artificial neural network, exponential smoothing, and ARIMA models for COVID-19 time series forecasting". Co-Authors: Sanusi, O. I. Model Assisted Statistics and Applications. 16.
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(2017). "Short and long-term forecasting using artificial neural networks for stock prices in Palestine: a comparative study. Electronic ". Co-Authors: White, A. K
. Electronic Journal of Applied Statistical Analysis. 10. 15
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(2016). "The efficiency of artificial neural networks for forecasting in the presence of autocorrelated disturbances". Co-Authors: White, A. K
. International Journal of Statistics and Probability. 5. 8
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(2014). "Generalized Heteroskedasticity ACF for Moving Average Models in Explicit Forms". Co-Authors: . Pakistan Journal of Statistics and Operation Research. 9. 13
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(2013). "Generalized order statistics from generalized exponential distributions in explicit forms". Co-Authors: AlSheikh Ahmed, R. H
. Electronic Journal of Applied Statistical Analysis,. 6. 16
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(2011). "Explicit Equations for ACF in Autoregressive Processes In the Presence of Heteroscedasticity Disturbances in Autoregressive Models, AR(p)". Co-Authors: . Journal of Modern Applied Statistical Methods. 10. 7
