|
|||||
 |
|
|
|
|
|
|
Latent free
equivalent mDAGs
Robin J. Evans |
|
Vol. 14 (2023), No. 1, 3–16
|
Abstract |
|
We show that the marginal model for a discrete directed acyclic graph (DAG) with hidden variables is distributionally equivalent to another fully observable DAG model if and only if it does not induce any nontrivial inequality constraints. |
PDF Access Denied
We have not been able to recognize your IP address
18.97.14.80
as that of a subscriber to this journal.
Online access to the content of recent issues is by
subscription, or purchase of single articles.
Please contact your institution's librarian suggesting a subscription, for example by using our journal-recommendation form. Or, visit our subscription page for instructions on purchasing a subscription.
You may also contact us at
contact@msp.org
or by using our
contact form.
Or, you may purchase this single article for USD 40.00:
Keywords
Bayesian networks, directed acyclic graphs, distributional
equivalence, latent variables, mixed graphs
|
Mathematical Subject Classification
Primary: 62H22
|
Milestones
Received: 14 September 2022
Revised: 18 May 2023
Accepted: 2 June 2023
Published: 28 November 2023
|
Authors |
| Robin J. Evans | |
| Department of Statistics University of Oxford Oxford United Kingdom |
|
| © 2023 The Author(s), under exclusive license to MSP (Mathematical Sciences Publishers). |
