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Generating Generalized Inverse Gaussian Distributed Random Variates

Activity: Talk or presentationScience to science

Description

We discuss methods for sampling Generalized Inverse Gaussian (GIG) distributed random variates both in the fixed and in the varying parameter case.
In particular we present a new algorithm for the varying parameter case. It is based on the acceptance-rejection method and has, different to all algorithms presented in the literature, a uniformly bounded rejection constant.
Period13 Feb 201217 Feb 2012
Event titleMonte Carlo and Quasi-Monte Carlo Methods 2012
Event typeUnknown
Degree of RecognitionInternational