Correlated coefficients in autoregressive process disrupt accurate estimation methods.
The article explores a type of process where the changing factors are connected in a specific way. It looks at how these connections affect the behavior of the process and how we can estimate its properties. The researchers found that the way the coefficients are related can impact how well we can predict the process. They used a method involving moving averages to understand these relationships better.