- 1 Introduction
- 2 Categorical Latent Variables
- 3 Near-ignorance sets of priors
- 4 Limits of Learning under Prior Near-Ignorance
- 4.1 General parametric inference
- 4.2 An important special case: predictive probabilities
- 4.3 Predicting the next outcome with categorical manifest variables
- 5 On modeling observable quantities
- 6 Conclusions
- A Technical preliminaries
- B Proofs of the main results
- References
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