Invertible time-series representation (${ϵ}_t={\sum }_{r\ge 0}{b}_r{X}_{t-r}$)

An invertible time-series representation reconstructs the driving white noise from present and past observations. The stable convention requires absolute summability of the inverse coefficients. A convergent bilateral inverse using future observations does not establish this one-sided property.