• 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