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Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data

Haixiang Zhang & HaiYing Wang

Computational Statistics2026https://doi.org/10.1007/s00180-025-01702-6article
AJG 2
Weight
0.50

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https://doi.org/https://doi.org/10.1007/s00180-025-01702-6

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@article{haixiang2026,
  title        = {{Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data}},
  author       = {Haixiang Zhang & HaiYing Wang},
  journal      = {Computational Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s00180-025-01702-6},
}

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Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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