Selected Publications

Referred Journal Papers:

  • Hoque ME., Acar E., and Torabi M. (2022). A Time-heterogeneous D-vine Copula Model for Unbalanced and Unequally Spaced Longitudinal Data. Biometrics, Vol 79(2). Link
  • Hoque ME. and Torabi M. (2018). Modeling the Random Effects Covariance Matrix for Longitudinal Data with Covariates Measurement Errors. Statistics in Medicine, Vol 37(28). Link
  • Acar E., Azimaee P., and Hoque ME. (2018). Predictive Assessment of Copula Models. Canadian Journal of Statistics, Vol 47(1). Link

    • Related: Selected as one of the top downloaded papers in 2018 - 2019 by WILEY

  • Hoque ME., Khokan MR., and Bari W. (2015). On Selecting Relevant Covariates and Correlation Structure in Longitudinal Binary model: Analyzing Impact of Height on Type II Diabetes. Austrian Journal of Statistics, Vol 45(3). Link
  • Hoque ME., Khokan MR., and Bari W. (2014). Impact of Stature on Non-communicable Diseases: Evidence Based on Bangladesh Demographic and Health Survey, 2011 Data. BMC Public Health, 14, 1007(2014). Link

    • Related: Awarded the Dean's Award (Research Paper Category) 2014 by Faculty of Science, University of Dhaka

    Referred Conference Papers:

  • Bowala, S., Hoque ME., Shaheen, H., Thavaneswaran, A., Thulasiram, RK., and Paseka, A. (2025). On the Superiority of Data-Driven Combined Forecasts Based on Deep Learning Models. IEEE Annual Computers, Software, and Applications Conference (COMPSAC), 391-400. Link
  • Hoque ME., Bowala S., Saumyamala A., Thavaneswaran A., and Thulasiram RK. (2024). Novel Resilient Model Risk Forecasts based on Neuro Volatility Models. IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 210-219. Link
  • Bowala S., Hoque ME., Thavaneswaran A., Thulasiram RK., and Appadoo, SS. (2024). Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 1752-1757. Link
  • Bowala S., Thavaneswaran A., Thulasiram R., Hoque ME. and Paseka A. (2023). Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies. IEEE Symposium Series on Computational Intelligence (SSCI), 146-151. Link
  • Hoque ME., Bowala S., Paseka A., Thavaneswaran A., and Thulasiram RK. (2023). Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 1349-1354. Link
  • Hoque ME., Thavaneswaran A., Appadoo, SS., Thulasiram RK., and Banitalebi B. (2021). A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 218-227. Link
  • Hoque ME., Thavaneswaran A., Paseka A., and Thulasiram RK. (2021). A Novel Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility. IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 218-227. Link
  • Thavaneswaran A., Liang Y., Paseka A., Hoque ME., and Thulasiram RK. (2021). A Novel Data-Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal PortfolioWeights and Risk Tolerance Coefficient. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6. Link
  • Thavaneswaran A., Thulasiram RK., Hoque ME., and Appadoo, SS.(2021). Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. IEEE Symposium Series on Computational Intelligence (SSCI), 1-8. Link
  • Banitalebi B., Appadoo, SS., Thavaneswaran A., and Hoque ME. (2020). Modeling of Short-Term Electricity Demand and Comparison of Machine Learning Approaches for Load Forecasting. IEEE 44th Annual Computer Software and Applications Conference (COMPSAC), 1302-1307. Link
  • Liang Y., Thavaneswaran A., Yu N., and Hoque ME. (2020). A Novel Algorithmic Trading Strategy Using Data- Driven Innovation Volatility. IEEE Symposium Series on Computational Intelligence (SSCI), 1107-1114. Link
  • Thavaneswaran A., Thulasiram R. K., Zhu Z., Hoque ME., and Ravishanker N. (2019) Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), 221-226. Link
    • Click here to view the complete list of my publications.