WinBUGS code MultinomialLogit.odc
Posterior means, posterior standard deviations and 95% credible intervals (Inference->Samples->stats)
Sample path (history)
Posterior probability densities (Inference->Samples->density)
(Further, right click on the figure->Margins-> Special…->Smooth -> change from 0.2 to 0.1-> apply all)
Sample autocorrelation function (Inference->Samples->auto corr)
Running quantile plot (Inference->Samples->quantiles)
Scatter plots (Inference->Correlations…)
Scatter plots (Inference->Correlations…) Enter “beta1” (or “beta3”) in node box and click on matrix.
Prediction : Pr(category 1 | log(cash flow), other independent variables (at their means), data)
(Inference-> Compare-> node:pp[,1], axis:p.lcf, and click on modelfit)
(Further, right-click on the figure, Titles -> x-axis: log(cash flow), title: Pr(category 1|data))
95% intervals (blue) and median (red)
Prediction : Pr(category 2| log(cash flow), other independent variables (at their means), data)
(Inference-> Compare-> node:pp[,2], axis:p.lcf, and click on modelfit)
(Further, right-click on the figure, Titles -> x-axis: log(cash flow), title: Pr(category 2|data))
95% intervals (blue) and median (red)
Prediction : Pr(category 3| log(cash flow), other independent variables (at their means), data)
(Inference-> Compare-> node:pp[,2], axis:p.lcf, and click on modelfit)
(Further, right-click on the figure, Titles -> x-axis: log(cash flow), title: Pr(category 3|data))
95% intervals (blue) and median (red)