Navigation:  Menu Commands > View Menu > Prior Densities >

 

Bivariate Prior Densities

 

Print this Topic Previous pageReturn to chapter overviewNext page

For the bivariate prior densities, two methods are supported. The default is based on fast Fourier transforms with a Gaussian kernel and taken from the Kernel Density Estimation Toolbox of Christan Beardah. The second is based on linear diffusion processes and uses Zdravko Botev's code kde2d, which can be downloaded from Mathworks website and which is discussed in Botev, Grotowski and Kroese (2010). YADA can create both surface and contour plots of user selected pairs of bivariate densities.

 

Additional Information

A more detailed description about the prior densities can be found in Section 4.2 of the YADA Manual.
A discussion about system priors is given in Section 4.4 of the YADA Manual.

 

 


Page url: http://www.texlips.net/yada/help/index.html?bivariate_prior_densities.htm