Is a Transformed Low Discrepancy Design Also Low Discrepancy?¶
Li, Y., Kang, L., & Hickernell, F. J. Is a Transformed Low Discrepancy Design Also Low Discrepancy?. Contemporary Experimental Design, Multivariate Analysis and Data Mining.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Space-Filling Design
- A design that is beautifully uniform in raw inputs can be badly clumped after a nonlinear transform
This sourceIn Contemporary Experimental Design, Multivariate Analysis and Data Mining. Springer (2020). Shows that transforming a low-discrepancy uniform design can produce a design with large discrepancy for the target distribution.
- A design that is beautifully uniform in raw inputs can be badly clumped after a nonlinear transform
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:583d73858319 · see in the full table