Systems without a graphical causal representation

, &
Synthese 191 (8):1925-1930 (2014)
  Copy   BIBTEX

Abstract

There are simple mechanical systems that elude causal representation. We describe one that cannot be represented in a single directed acyclic graph. Our case suggests limitations on the use of causal graphs for causal inference and makes salient the point that causal relations among variables depend upon details of causal setups, including values of variables.

Categories

Keywords

Reprint years

DOI

10.1007/s11229-013-0380-3

Links

PhilArchive

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Erratum to: Systems without a graphical causal representation.Daniel M. Hausman, Reuben Stern & Naftali Weinberger - 2015 - Synthese 192 (9):3053-3053.
Graphical models, causal inference, and econometric models.Peter Spirtes - 2005 - Journal of Economic Methodology 12 (1):3-34.
with Unmeasured Variables.Peter Spirtes & Clark Glymour - unknown
Discovering Causal Relations Among Latent Variables in Directed Acyclical Graphical Models.Peter Spirtes - unknown
Causal diagrams and change variables.Eyal Shahar & Doron J. Shahar - 2012 - Journal of Evaluation in Clinical Practice 18 (1):143-148.
Causal learning in children: Causal maps and Bayes nets.Alison Gopnik, Clark Glymour, David M. Sobel & Laura E. Schultz - unknown
The Frugal Inference of Causal Relations.Malcolm Forster, Garvesh Raskutti, Reuben Stern & Naftali Weinberger - 2018 - British Journal for the Philosophy of Science 69 (3):821-848.
Causal Reasoning with Ancestral Graphical Models.Jiji Zhang - 2008 - Journal of Machine Learning Research 9:1437-1474.
Estimating causal effects with the neural autoregressive density estimator.Francisco Pereira, Jeppe Rich, Stanislav Borysov & Sergio Garrido - 2021 - Journal of Causal Inference 9 (1):211-228.
Learning the structure of linear latent variable models.Peter Spirtes - unknown

Analytics

Added to PP
2013-12-14

Downloads
893 (#17,505)

6 months
137 (#33,346)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Daniel Hausman
University of Wisconsin, Madison
Naftali Weinberger
Tilburg Center For Logic, Ethics, And Philosophy Of Science (TiLPS - Tilburg University)
Reuben Stern
Duke University

Citations of this work

Add more citations

References found in this work

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Causal Asymmetries.Daniel M. Hausman - 1998 - New York: Cambridge University Press.
Causal Asymmetries.Daniel M. Hausman - 2000 - Mind 109 (436):933-937.
Interventions and causal inference.Frederick Eberhardt & Richard Scheines - 2007 - Philosophy of Science 74 (5):981-995.

View all 8 references / Add more references