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Python Code for CUD constructions

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Title: Python Code for CUD constructions
Authors: Schwedes, T
Item 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.
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.
Content Version: 4
Issue Date: 29-May-2018
URI: http://hdl.handle.net/10044/1/65939
DOI: https://doi.org/10.5281/zenodo.1255041
Copyright Statement: http://creativecommons.org/licenses/by/4.0/legalcode
Keywords: Python
CUD contructions
Appears in Collections:Faculty of Natural Sciences - Research Data