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Minimal Trails in Restricted DAGs

Alexis Derumigny, Niels Horsman, Dorota Kurowicka

TL;DR

This work addresses the problem of characterizing minimal trails activated by a subset $Z$ in directed acyclic graphs that exclude active cycles, with applications to copula-based Bayesian networks. The authors define TRAILS$(X,Y|Z)$, the converging-connection set ConvCon$(T)$, closest descendants, subtrails, and a partial order $<_{TRAIL}$ to compare trails, proving structural properties of minimal trails under the no-active-cycle constraint. A key contribution is showing how converging nodes interact with the activation set $Z$, especially when $Y 1d Z$ has local relationships, leading to precise subgraph configurations and d-separation implications. These results yield a framework for efficient conditional independence reasoning in constrained DAGs and PCBNs, potentially aiding computations in copula-based BN models.

Abstract

In this paper, the properties of minimal trails in a directed acyclic graph that is restricted not to contain an active cycle are studied. We are motivated by an application of the results in the copula-based Bayesian Network model developed recently. We propose a partial order on the set of trails activated by a certain subset of nodes, and show that every minimal trail, according to such an order, has a simple structure.

Minimal Trails in Restricted DAGs

TL;DR

This work addresses the problem of characterizing minimal trails activated by a subset in directed acyclic graphs that exclude active cycles, with applications to copula-based Bayesian networks. The authors define TRAILS, the converging-connection set ConvCon, closest descendants, subtrails, and a partial order to compare trails, proving structural properties of minimal trails under the no-active-cycle constraint. A key contribution is showing how converging nodes interact with the activation set , especially when has local relationships, leading to precise subgraph configurations and d-separation implications. These results yield a framework for efficient conditional independence reasoning in constrained DAGs and PCBNs, potentially aiding computations in copula-based BN models.

Abstract

In this paper, the properties of minimal trails in a directed acyclic graph that is restricted not to contain an active cycle are studied. We are motivated by an application of the results in the copula-based Bayesian Network model developed recently. We propose a partial order on the set of trails activated by a certain subset of nodes, and show that every minimal trail, according to such an order, has a simple structure.

Paper Structure

This paper contains 6 sections, 12 theorems, 30 equations, 17 figures.

Key Result

Lemma 4.1

A trail is activated by the empty set if and only if it does not contain a converging connection.

Figures (17)

  • Figure 1: Directed acyclic graph with seven nodes.
  • Figure 2: Active cycle, where $\rightleftharpoons$ represents arcs that form only diverging or serial connections.
  • Figure 3: A graph containing an active cycle.
  • Figure 4: Subgraph in ${G}$ with the active cycle colored in red.
  • Figure 5: Subgraph of $G$ with common descendant.
  • ...and 12 more figures

Theorems & Definitions (39)

  • Definition 2.1: Active cycle
  • Definition 2.2: d-separation
  • Definition 3.1
  • Definition 3.2
  • Definition 3.3: Closest descendant
  • Definition 3.4: Subtrails
  • Definition 3.5: Smaller trail
  • Remark 3.1
  • Lemma 4.1
  • proof
  • ...and 29 more