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  • Introduction
  • Generative models
  • Conditioning
  • Causal and statistical dependence
  • Conditional dependence
  • Social cognition
  • Interlude - Bayesian data analysis
  • Interlude - Algorithms for inference
  • Rational process models
  • Learning as conditional inference
  • Learning with a language of thought
  • Hierarchical models
  • Occam's Razor
  • Mixture models
  • Learning (deep) continuous functions
  • Appendix - JavaScript basics
  • Appendix - Useful distributions

1. The “no negative evidence” problem

@perfors2010variability

Reading questions:

a) What is a linguistic alternation, such as the dative alternation?

b) What is the Problem of No Negative Evidence?

c) How does a hierarchical Bayesian model ameliorate the Problem of No Negative Evidence?