A Generalization of Hierarchical Exchangeability on Trees to Directed Acyclic Graphs

preprint2020arXivOpen access

Abstract

Motivated by the problem of designing inference-friendly Bayesian nonparametric models in probabilistic programming languages, we introduce a general class of partially exchangeable random arrays which generalizes the notion of hierarchical exchangeability introduced in Austin and Panchenko (2014). We say that our partially exchangeable arrays are DAG-exchangeable since their partially exchangeable structure is governed by a collection of Directed Acyclic Graphs. More specifically, such a random array is indexed by N∣V∣\mathbb{N}^{|V|} for some DAG G=(V,E)G=(V,E), and its exchangeability structure is governed by the edge set EE. We prove a representation theorem for such arrays which generalizes the Aldous-Hoover and Austin-Panchenko representation theorems.

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