$hv$-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: -block cross-validation" by Racine (2000). In his paper, he implied that the therein proposed -block cross-validation is consistent in the sense of Shao (1993). To get this intuition, he relied on the speculation that -block is a balanced incomplete block design (BIBD). This note demonstrates that this is not the case, and thus the theoretical consistency of -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