ChineseRestaurantProcess: The Chinese Restaurant Process Distribution

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The Chinese Restaurant Process Distribution

Description

Density and random generation for the Chinese Restaurant Process distribution.

Usage

dCRP(x, conc = 1, size, log = 0)

rCRP(n, conc = 1, size)

Arguments

x	vector of values.
conc	scalar concentration parameter.
size	integer-valued length of x (required).
log	logical; if TRUE, probability density is returned on the log scale.
n	number of observations (only n = 1 is handled currently).

Details

The Chinese restaurant process distribution is a distribution on the space of partitions of the positive integers. The distribution with concentration parameter \alpha equal to conc has probability function

f(x_i \mid x_1, \ldots, x_{i-1})=\frac{1}{i-1+\alpha}\sum_{j=1}^{i-1}\delta_{x_j}+ \frac{\alpha}{i-1+\alpha}\delta_{x^{new}},

where x^{new} is a new integer not in x_1, \ldots, x_{i-1}.

If conc is not specified, it assumes the default value of 1. The conc parameter has to be larger than zero. Otherwise, NaN are returned.

Value

dCRP gives the density, and rCRP gives random generation.

Author(s)

Claudia Wehrhahn

References

Blackwell, D., and MacQueen, J. B. (1973). Ferguson distributions via P\'olya urn schemes. The Annals of Statistics, 1: 353-355.

Aldous, D. J. (1985). Exchangeability and related topics. In \'Ecole d'\'Et\'e de Probabilit\'es de Saint-Flour XIII - 1983 (pp. 1-198). Springer, Berlin, Heidelberg.

Pitman, J. (1996). Some developments of the Blackwell-MacQueen urn scheme. IMS Lecture Notes-Monograph Series, 30: 245-267.

Examples

x <- rCRP(n=1, conc = 1, size=10)
dCRP(x, conc = 1, size=10)

nimble documentation built on July 9, 2023, 5:24 p.m.