# On Testing Marginal versus Conditional Independence.

@inproceedings{Guo2019OnTM, title={On Testing Marginal versus Conditional Independence.}, author={Fangjian Guo and Thomas S. Richardson}, year={2019} }

We consider testing marginal independence versus conditional independence in a trivariate Gaussian setting. The two models are non-nested and their intersection is a union of two marginal independences. We consider two sequences of such models, one from each type of independence, that are closest to each other in the Kullback-Leibler sense as they approach the intersection. They become indistinguishable if the signal strength, as measured by the product of two correlation parameters, decreases… CONTINUE READING

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