Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of Statistics and Informatics Department entitled:  Using Echo State Network based on Bayesian Ridge Regression for Multivariate Time Series Forecasting Master’s thesis by  Raed Arif Snaan Abdullah supervised by  Assis.Prof.Dr. Osamah Basheer Shukur This thesis includes the development of a hybrid model combining Echo State Network (ESN) and Bayesian Ridge Regression (BRR) based on the Ridge Regression(RR) model to forecast climate time series. It also examines the problem of nonlinearity and multicollinearity in climate data. The study addresses the method of calculating the Variance Inflation Factor (VIF) [Read More]