Showing 1 - 2 of 2
The method of Bayesian model selection for join point regression models is developed. Given a set of "K"&plus;1 join point models "M"<sub>0</sub>, "M"<sub>1</sub>, …, "M"<sub>" K"</sub> with 0, 1, …, "K" join points respec-tively, the posterior distributions of the parameters and competing models "M"<sub>"k"</sub> are computed...
Persistent link: https://www.econbiz.de/10005217072
Persistent link: https://www.econbiz.de/10008214052