Abstract
In this paper, we show that the Chapman-Kolmogorov formula could be used as
a recursive formula for computing the m-step-ahead conditional density of a Markov
bilinear model. The stationary marginal probability density function of the model
may be approximated by the m-step-ahead conditional density for sufficiently large
m.
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