Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints

Research article (Computational Statistics & Data Analysis, 2017) · cited 29× · AI/ML
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Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints

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Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-kernel-representations-for-sampling-with-an-unknown-block-dependence-structure-under-correlation-constraints
MLA “Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-kernel-representations-for-sampling-with-an-unknown-block-dependence-structure-under-correlation-constraints.
BibTeX @misc{4ortxyz_data-driven-kernel-representations-for-sampling-with-an-unknown-block-dependence-structure-under-correlation-constraints_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-kernel-representations-for-sampling-with-an-unknown-block-dependence-structure-under-correlation-constraints}, note = {Accessed: 2026-05-24}}
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