Author

Christine H. Lind

University of California San Diego

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Angela J. YuiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

1 paper

Recent·Most cited

NeurosciencebioRxivPreprintApr 26, 2021

Understanding double descent through the lens of principal component regression

Christine H. Lind, Angela J. Yu

The paper analyzes the double-descent phenomenon in linear regression, showing equivalence between second-descent and principal component regression and conditions under which second-descent outperforms first-descent models.

DOI 10.1101/2021.04.26.441538

statistical modelbenchmarking

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