Without commenting on the method itself, nothing stops you from stacking the means of two GLMs, adding a covariance matrix, and estimating them jointly as a Multivariate Normal. Seems like in the worst case you will just get a diagonal covariance matrix (ok ok the real worst case is infinity divergences)
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