New Models

• Conditioned Flips Two flips conditioned on their disjunction.
  testing
• Infinite Probabilistic Context-Free Grammar The infinite PCFG is a nonparametric Bayesian model of tree structures based on the hierarchical Dirichlet process. <ref> * Percy ...
  grammars language models nonparametric statistics
• Brightness Constancy How we perceive the reflectance of a visual object depends on the assumptions our visual system makes about the *illumination* ...
  cognitive science vision
• Curve Fitting Bayesian inference can be used to simultaneously find the order of a polynomial and its coefficients, trading off fit against ...
  function learning occam's razor
• One-dimensional Gaussian with Gaussian Hyperparameters One-dimensional Gaussian distribution with mean and variance sampled from a Gaussian distribution.
  continuous models gaussian distribution
• Infinite Relational Model The Infinite Relational Model (IRM) is a nonparametric model that, given data involving different kinds of entities, discovers which kinds ...
  clustering cognitive science nonparametric statistics
• Hierarchical Dirichlet Process Teh et al, describing situations where the Hierarchical Dirichlet Process (HDP) is useful: > "We consider problems involving groups of ...
  dirichlet process nonparametric statistics
• Probabilistic Context-Free Grammar A probabilistic context-free grammar (PCFG) is a context-free grammar where each production is associated with a probability. The probability of ...
  grammars language models
• Infinite Gaussian Mixture Model The infinite Gaussian mixture model is a generalization of finite Gaussian mixtures to an infinite number of components. <ref> * ...
  gaussian distribution nonparametric statistics

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