Comparing the Forecast Performance of Advanced Statistical and Machine Learning Techniques Using Huge Big Data: Evidence from Monte Carlo Experiments. - Faridoon Khan; Amena Urooj; Saud Ahmed Khan; Abdelaziz Alsubie; Zahra Almaspoor; Sara Muhammadullah (Complex., 2021)

A Comparison of Autometrics and Penalization Techniques under Various Error Distributions: Evidence from Monte Carlo Simulation. - Faridoon Khan; Amena Urooj; Kalim Ullah; Badr Alnssyan; Zahra Almaspoor (Complex., 2021)

An Application of Hybrid Models for Weekly Stock Market Index Prediction: Empirical Evidence from SAARC Countries. - Zhang Peng; Farman Ullah Khan; Faridoon Khan; Parvez Ahmed Shaikh; Dai Yonghong; Ihsan Ullah; Farid Ullah (Complex., 2021)

Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data. - Sara Muhammadullah; Amena Urooj; Faridoon Khan; Mohammed N. Alshahrani; Mohammed Alqawba; Sanaa Al-Marzouki (Complex., 2022)

A New Probability Distribution: Model, Theory and Analyzing the Recovery Time Data. - Huda M. Alshanbari; Omalsad Hamood Odhah; Zubair Ahmad; Faridoon Khan; Abd Al-Aziz Hosni El-Bagoury (Axioms, 2023)

A Novel Probabilistic Approach Based on Trigonometric Function: Model, Theory with Practical Applications. - Omalsad Hamood Odhah; Huda M. Alshanbari; Zubair Ahmad; Faridoon Khan; Abd Al-Aziz Hosni El-Bagoury (Symmetry, 2023)

Analysis of Fat Big Data Using Factor Models and Penalization Techniques: A Monte Carlo Simulation and Application. - Faridoon Khan; Olayan Albalawi (Axioms, 2024)