The article explores how processes in different spaces are related over time using lagged covariance and cross-covariance operators. The researchers developed estimators and upper bounds for the errors in estimating these operators, even when the processes are not centered. They also looked at how the values of the processes in different spaces affect their dependence. Additionally, the study discusses how to estimate the main components of these covariance operators.