• 1 January 2001
    • preprint
    • Published in RePEc
Abstract
A simulation smoother in state space time series analysis is a procedure for drawing samples from the conditional distribution of state or disturbance vectors given the observations. We present a new technique for this which is both simple and computationally efficient.
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