We propose two fast and stable methods to compute the likelihood of time in
variant state-space models. The first one exploits the properties of the Ka
lman filter when applied to steady-state innovations models. The second pro
cedure allows for more general structures. (C) 1999 Elsevier Science S.A. A
ll rights reserved.