What is Prediction-error decomposition?

The prediction-error decomposition writes the likelihood of the observations as the product of the one-step predictive densities, $\ln L = -\frac12\sum_t\bigl(\ln(2\pi F_t) + v_t^2/F_t\bigr)$, with the innovations and their variances from the filter.