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Eigenvalues and variance components

By Iain Johnstone

Motivated by questions from quantitative genetics, we consider high dimensional versions of some common variance component models. We focus on quadratic estimators of 'genetic covariance' and study the behavior of both the bulk of the estimated eigenvalues and the largest estimated eigenvalues in some plausible asymptotic models. Joint work with Mark Blows, Zhou Fan and Yi Sun.

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Citation data

  • DOI 10.24350/CIRM.V.19261103
  • Cite this video Johnstone, Iain (19/12/2017). Eigenvalues and variance components. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19261103
  • URL https://dx.doi.org/10.24350/CIRM.V.19261103

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Bibliography

  • Blows, M., Fan, Z., Hine, E., Johnstone, I.M., & Sun, Y. Spiked covariances and eigenvalue estimation in high-dimensional random effects models. In preparation
  • Fan, Z., & Johnstone, I.M. (2017). Eigenvalue distributions of variance components estimators in high-dimensional random effects models. <arXiv:1607.02201> - https://arxiv.org/abs/1607.02201
  • Fan, Z., & Johnstone, I.M. (2017). Tracy-Widom at each edge of real covariance estimators. <arXiv:1707.02352> - https://arxiv.org/abs/1707.02352

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