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• In reply to: Prakash P. Shenoy: "Re: Calculating joint over arbitrary sets of variables"
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Prakash P. Shenoy writes:
> Dear Denver and Bruce,
>
> When you construct join trees, include the subset for which you
> desire the joint for. (I have in mind here a method for constructing
> join tree starting with subsets for which you have potentials and
> subsets for which you desire marginals and then stringing these in a
> join tree using variable elimination). Once you have such a join
> tree, one can use any known method such as Hugin, Shenoy-Shafer, SPI,
> etc. Hong Xu has published a paper on precisely this problem in
> Artificial Intelligence Journal (I don't have the exact reference)
> using the Shenoy-Shafer architecture.

The reference is:

Hong Xu. Computing marginals for arbitrary subsets from marginal
representation in Markov trees. Artificial Intelligence,
74(1):177-189, 1995.

---
Frank Jensen,   fj@hugin.com
Hugin Expert A/S
Niels Jernes Vej 10
9220 Aalborg East
DENMARK

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