Abstract
We provide a uniformly efficient and simple random variate generator for the entire parameter range of the generalized inverse Gaussian distribution. A general algorithm is provided as well that works for all densities that are proportional to a log-concave function ?, even if the normalization constant is not known. It requires only black box access to ? and its derivative.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
