English

$hv$-Block Cross Validation is not a BIBD: a Note on the Paper by Jeff Racine (2000)

Machine Learning 2019-10-22 v1 Machine Learning Statistics Theory Quantitative Methods Methodology Statistics Theory

Abstract

This note corrects a mistake in the paper "consistent cross-validatory model-selection for dependent data: hvhv-block cross-validation" by Racine (2000). In his paper, he implied that the therein proposed hvhv-block cross-validation is consistent in the sense of Shao (1993). To get this intuition, he relied on the speculation that hvhv-block is a balanced incomplete block design (BIBD). This note demonstrates that this is not the case, and thus the theoretical consistency of hvhv-block remains an open question. In addition, I also provide a Python program counting the number of occurrences of each sample and each pair of samples.

Keywords

Cite

@article{arxiv.1910.08904,
  title  = {$hv$-Block Cross Validation is not a BIBD: a Note on the Paper by Jeff Racine (2000)},
  author = {Wenjie Zheng},
  journal= {arXiv preprint arXiv:1910.08904},
  year   = {2019}
}

Comments

Technique report. 5 pages, 1 figure