Computes sample bootstraps with the self-consistent entropy-based method described in Amir Sani, Alessandro Lazaric, and Daniil Ryabko. "The replacement bootstrap for dependent data." 2015 IEEE International Symposium on Information Theory (ISIT). IEEE, 2015. In short, one determines a non-uniform sampling distribution based on the zipped length of the samples.
|Author||Amir Sani and Damien Challet|
|Maintainer||Damien Challet <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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