Bayesian models of graphs, arrays and other exchangeable random structures

Peter Orbanz, Daniel M Roy
Paper From BibTeX import
IEEE transactions on pattern analysis and machine intelligence 37, pp. 437–461, 2014

Notes

Cited in riva2026intensity as the foundational reference for exchangeable arrays and graphon priors, grounding the weak-isomorphism representation theorem that lifts the regularity obstruction from pullback kernels to all weakly equivalent digraphons.

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