Distributed lag

In statistics a distributed lag model explains a time series by a series of lags of the same variable. In general $y_{t}=\sum \beta _{i}y_{t-i}+\epsilon _{t}$, where $y_{t}$ is the time series and $\epsilon$ is the error.