Random sampling for multivariate Bernoulli variables

Details Random sampling for multivariate Bernoulli variables Random sampling for multivariate Bernoulli variables

2006-02-28

2006-02-28

Jones, Hugh (Department: 2128)

Data processing: structural design, modeling, simulation, and em

Modeling by mathematical expression

Reexamination Certificate

active

07006954

ABSTRACT:
One embodiment of the present invention generates random samples for a Bernoulli distribution. A first covariance matrix is generated using a desired mean vector and a desired covariance matrix of the Bernoulli distribution. A normal vector is constructed using the desired mean vector and the first covariance matrix. A sampling vector is generated using the normal vector and a threshold vector. The sampling vector has the desired mean vector and the desired covariance matrix.

REFERENCES:
patent: 6581058 (2003-06-01), Fayyad et al.

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