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|| for some DAG =(,), and its exchangeability structure is governed by the edge set . We prove a representation theorem for such arrays which generalizes the Aldous-Hoover and Austin–Panchenko representation theorems
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
Aldous and Hoover have proved independently that an array X = (Xij, i, j [set membership, variant] )...
We derive representation theorems for exchangeable distributions on finite and infinite graphs using...
Exchangeability -- the probabilistic symmetry meaning ``invariance under the action of the symmetric...
Many popular network models rely on the assumption of (vertex) exchangeability, in which the distrib...
In this paper we introduced new stochastic processes indexed by the vertices of a k-tree. While the...
We introduce and study a class of exchangeable random graph ensembles. They can be used as statistic...
A hierarchy on a set S, also called a total partition of S, is a collection H of sub-sets of S such ...
We introduce the notion of a restricted exchangeable partition of N.We obtain integral representatio...
Abstract. We introduce a class of random graphs that we argue meets many of the desiderata one would...
AbstractA weakly exchangeable array is a symmetric infinite array with random entries which have a j...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
AbstractAldous and Hoover have proved independently that an array X = (Xij, i, j ∈ N) of random vari...
A fundamental problem in the analysis of structured relational data like graphs, networks, databases...
Statistical network modelling has focused on representing the graph as a discrete structure, namely ...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
Aldous and Hoover have proved independently that an array X = (Xij, i, j [set membership, variant] )...
We derive representation theorems for exchangeable distributions on finite and infinite graphs using...
Exchangeability -- the probabilistic symmetry meaning ``invariance under the action of the symmetric...
Many popular network models rely on the assumption of (vertex) exchangeability, in which the distrib...
In this paper we introduced new stochastic processes indexed by the vertices of a k-tree. While the...
We introduce and study a class of exchangeable random graph ensembles. They can be used as statistic...
A hierarchy on a set S, also called a total partition of S, is a collection H of sub-sets of S such ...
We introduce the notion of a restricted exchangeable partition of N.We obtain integral representatio...
Abstract. We introduce a class of random graphs that we argue meets many of the desiderata one would...
AbstractA weakly exchangeable array is a symmetric infinite array with random entries which have a j...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
AbstractAldous and Hoover have proved independently that an array X = (Xij, i, j ∈ N) of random vari...
A fundamental problem in the analysis of structured relational data like graphs, networks, databases...
Statistical network modelling has focused on representing the graph as a discrete structure, namely ...
Exchangeability is a central notion in statistics and probability theory. The assumption that an inf...
Aldous and Hoover have proved independently that an array X = (Xij, i, j [set membership, variant] )...
We derive representation theorems for exchangeable distributions on finite and infinite graphs using...