Hello,
Even after reading the paper a number of times, I find large holes in my understanding of what is really going on.
My principal issue is with the greedy search used to construct the model structure. I am not sure if a greedy search is the proper way to construct these models.

Also I do not understand how the "shrinking" works. I understand the smoothing a bit, but the authors talk about the hierarchial bayes.. does it simply mean smoothing based on parent node. or is it more ?


sameer