dist.Stick: Truncated Stick-Breaking Prior Distribution

Description Usage Arguments Details Value References See Also Examples

Description

These functions provide the density and random number generation of the original, truncated stick-breaking (TSB) prior distribution given theta and gamma, as per Ishwaran and James (2001).

Usage

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Arguments

M

This accepts an integer that is equal to one less than the number of truncated number of possible mixture components (M=1). Unlike most random deviate functions, this is not the number of random deviates to return.

theta

This is theta, a vector of length M-1, where M is the truncated number of possible mixture components.

gamma

This is gamma, a scalar, and is usually gamma-distributed.

log

Logical. If log=TRUE, then the logarithm of the density is returned.

Details

  • Application: Discrete Multivariate

  • Density: p(pi) = ((1-theta)^(beta-1))/(B(1,β))

  • Inventor: Sethuraman, J. (1994)

  • Notation 1: pi ~ Stick(theta, gamma)

  • Notation 2: pi ~ Stick(theta, gamma)

  • Notation 3: p(pi) = Stick(pi | theta, gamma)

  • Notation 4: p(pi) = GEM(pi | theta, gamma)

  • Parameter 1: shape parameter theta in (0,1)

  • Parameter 2: shape parameter gamma > 0

  • Mean: E(pi) = 1/(1+gamma)

  • Variance: var(pi) = gamma / ((1+gamma)^2 (gamma+2))

  • Mode: mode(pi) = 0

The original truncated stick-breaking (TSB) prior distribution assigns each theta to be beta-distributed with parameters alpha=1 and beta=gamma (Ishwaran and James, 2001). This distribution is commonly used in truncated Dirichlet processes (TDPs).

Value

dStick gives the density and rStick generates a random deviate vector of length M.

References

Ishwaran, H. and James, L. (2001). "Gibbs Sampling Methods for Stick Breaking Priors". Journal of the American Statistical Association, 96(453), p. 161–173.

Sethuraman, J. (1994). "A Constructive Definition of Dirichlet Priors". Statistica Sinica, 4, p. 639–650.

See Also

ddirichlet, dmvpolya, and Stick.

Examples

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