Conditionality Principle Under Unconstrained Randomness
Abstract
A very simple example demonstrates that Fisher’s application of the conditionality principle to regression (“fixed-x regression”), endorsed by David Sprott and many other followers, makes prediction impossible in the context of statistical learning theory. On the other hand, relaxing the requirement of conditionality makes it possible via, for example, conformal prediction.
Fields of Study & Subjects
Probability and Statistical Research
Bayesian Modeling and Causal Inference
Advanced Causal Inference Techniques
Publication details
- Journal / source
- Statistical Science
- Volume
- 41
- Issue
- 1
- Pages
- 218–221
- Publication date
- 14 January 2026
- Language
- EN