View plots of estimated marginal posterior densities for selected groups of parameters. In the kernel density estimation frame on the Miscellaneous tab you can select how you wish to estimate the posterior densities. The fast methods are (1) Gaussian, and (2) Silverman-type and Sköld-Roberts correction. The slower methods are (3) Sheather-Jones bandwidth, and (4) Bump killing bandwidth. All these methods are based on a Gaussian kernel. For details, see Sköld and Roberts (2003).
The prior densities are also displayed in the graph when they fit. In addition, YADA draws the posterior mode as a solid vertical black line.
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