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Python Code for CUD constructions
Author(s)
Schwedes, Tobias
Type
Software / Code
Abstract
The code features two Python implementations of CUD number sequences, one introduced in "Construction of weakly CUD sequences for MCMC sampling" by Tribble and Owen (2008) based on a linear congruential generator, and the other in "New inputs and methods for Markov chain quasi-Monte Carlo" by Chen, Matsumoto, Nishimura and Owen (2012) based on a linear feedback shift register.
Version
4
Date Issued
2018-05-29
Citation
2018
URI
DOI
Copyright Statement
http://creativecommons.org/licenses/by/4.0/legalcode
Subjects
Python
CUD contructions