The Frugal Inference of Causal Relations
Datos Bibliográficos
| ID | 8399210 |
|---|---|
| Autores | Malcolm Forster (University of Wisconsin–Madison, autor de correspondencia), Garvesh Raskutti (0000-0002-0522-5423, University of Wisconsin–Madison, autor de correspondencia), Richard Stern (0000-0003-0034-1385, Munich School of Philosophy, autor de correspondencia), Reuben Stern, Nanci Weinberger (0000-0002-4011-5756, Tilburg University, autor de correspondencia), Naftali Weinberger |
| Año | 2018 |
| Volumen | 69 |
| Número | 3 |
| Páginas | 821-848 |
| Fecha de publicación | 2018-09-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | The British Journal for the Philosophy of Science (JOURNAL) |
| Identificadores de la revista | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Editorial | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjps/axw033 |
| OpenAlex | W2761717464 |
| Idioma | EN |
| Citas recibidas | 6 |
| Referencias citadas | 16 |
Recent approaches to causal modelling rely upon the causal Markov condition, which specifies which probability distributions are compatible with a directed acyclic graph (DAG). Further principles are required in order to choose among the large number of DAGs compatible with a given probability distribution. Here we present a principle that we call frugality. This principle tells one to choose the DAG with the fewest causal arrows. We argue that frugality has several desirable properties compared to the other principles that have been suggested, including the well-known causal faithfulness condition. 1 Introduction2 The Causal Markov Condition3 Faithfulness4 Frugality 4.1 Basic independences and frugality 4.2 General properties of directed acyclic graphs satisfying frugality 4.3 Connection to minimality assumptions5 Frugality as a Parsimony Principle6 Conclusion Appendix
Algorithm · Causal inference · Causality (physics) · Directed acyclic graph · Econometrics · Frugality · Machine learning · Markov chain · Mathematical economics · Bayesian Modeling and Causal Inference · Computer Science · Law · Mathematics · Philosophy and History of Science · Theoretical Computer Science
Causality
The Logic of Scientific Discovery
When to Expect Violations of Causal Faithfulness and Why It Matters
The Principle of the Common Cause Faces the Bernstein Paradox
Two Notes on the Probabilistic Approach to Causality
A Comparison of Three Occam's Razors for Markovian Causal Models
Endogenous Selection Bias
| Obras citantes distintas | 6 |
|---|---|
| Citas por año | 0,86 |
| Intervalo de citas | 2019 - 2025 (7) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |