Bayesian Analysis of Nonlinear Time Series Models with Threshold
This paper considers the Bayesian analysis of threshold regression models. It shows that this analysis can be conducted with simple deterministic numerical integration in one or two dimensions. The shape of the posterior density is greatly determined by the type of threshold and of transition considered.
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|Date of creation:||1996|
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