On the Distribution of Scrambled $$(0,m,s)-$$Nets Over Unanchored Boxes
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-98319-2_5
Reference11 articles.
1. Dick, J., Pillichshammer, F.: Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration. Cambridge University Press, UK (2010)
2. Doerr, B., Gnewuch, M.: On Negative Dependence Properties of Latin Hypercube Samples and Scrambled Nets (2021). Preprint on arXiv.org
3. Gnewuch, M., Wnuk, M., Hebbinghaus, N.: On negatively dependent sampling schemes, variance reduction, and probabilistic upper discrepancy bounds. In: Bylik, D., Dick, J., Pillichshammer, F. (eds.) Discrepancy Theory, Radon Series on Computational and Applied Mathematics, vol. 26, pp. 43–68, De Gruyter (2020)
4. Gnewuch, M., Hebbinghaus, N.: Discrepancy Bounds for a Class of Negatively Dependent Random Points Including Latin Hypercube Samples (2021). Preprint on arXiv.org
5. Graham, R., Knuth, D., Patashnik, O.: Concrete Mathematics: A Foundation for Computer Science, Addison-Wesley (1989)
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