Causality
From Lesswrongwiki
Causality refers to the relationship between an event (the cause) and a second event (the effect), where the second event is a direct consequence of the first.
—Random House Unabridged Dictionary
Contents |
Blog posts
- Fake Causality
- Timeless Causality and Timeless Control (from The Quantum Physics Sequence)
- Causality and Moral Responsibility
External links
- Philip Dawid's explication of Pearl's model, and two ways of thinking about nonrandom sampling by Philip Dawid and Andrew Gelman - Causal inference as "the task of using data collected under one regime to infer about the properties of another".
- Resolving disputes between J. Pearl and D. Rubin on causal inference and More on Pearl's and Rubin's frameworks for causal inference by Andrew Gelman
- If correlation doesn't imply causation, then what does? by Michael Nielsen
- Correlation is Evidence of Causation by Kim Øyhus
See also
References
- Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press. http://bayes.cs.ucla.edu/BOOK-2K/.
