Nonparametric statistics | Bayesian statistics

Indian buffet process

In the mathematical theory of probability, the Indian buffet process (IBP) is a stochastic process defining a probability distribution over sparse binary matrices with a finite number of rows and an infinite number of columns. This distribution is suitable to use as a prior for models with potentially infinite number of features. The form of the prior ensures that only a finite number of features will be present in any finite set of observations but more features may appear as more data points are observed. (Wikipedia).

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Related pages

Bit array | Prior probability | Equivalence class | Harmonic number | Probability distribution | Stochastic process | Chinese restaurant process | Sparse matrix