Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of Statistics and Informatics Department entitled: Hybridizing Bayesian ARIMA and Echo State Network for Chaotic Time Series Forecasting Master’s thesis by  Shahla Tahseen Hasan Zakar supervised by Assis.Prof.Dr. Osamah Basheer Shukur Mahmood   This thesis includes: The thesis dealt with the development of a hybrid model for predicting chaotic time series, by combining Bayesian analysis of the ARIMA model with an echo-state network (ESN).   The study addressed: The study explored the integration of Bayesian analysis to address uncertainty with ESN networks to capture nonlinear patterns. It [Read More]