[1] The Kirkwood approximation for a discrete probability density function
For the three-variable case, it reduces to simply The Kirkwood approximation does not generally produce a valid probability distribution (the normalization condition is violated).
Watanabe claims that for this reason informational expressions of this type are not meaningful, and indeed there has been very little written about the properties of this measure.
The Kirkwood approximation is the probabilistic counterpart of the interaction information.
Judea Pearl (1988 §3.2.4) indicates that an expression of this type can be exact in the case of a decomposable model, that is, a probability distribution that admits a graph structure whose cliques form a tree.