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A survey of high dimension low sample size asymptotics

  • Published:2018-03 Issue:1 Volume:60 Page:4-19
  • ISSN:1369-1473
  • Container-title:Australian & New Zealand Journal of Statistics
  • language:en
  • Short-container-title:Aust. N. Z. J. Stat.

Author:

Aoshima Makoto1,Shen Dan2,Shen Haipeng3,Yata Kazuyoshi1,Zhou Yi‐Hui4,Marron J. S.5

Affiliation:

1. Institute of Mathematics University of Tsukuba Ibaraki 305‐8571Japan

2. Interdisciplinary Data Sciences Consortium Department of Mathematics & Statistics University of South Florida Tampa FL33620USA

3. Innovation and Information Management Faculty of Business and Economics University of Hong Kong Hong Kong City Hong Kong

4. Departments of Biological Sciences Bioinformatics Research Center North Carolina State University Raleigh NC27695USA

5. Department of Statistics and Operations Research University of North Carolina Chapel Hill NC27514USA

Funder

Japan Society for the Promotion of Science

National Science Foundation

Cystic Fibrosis Canada

Genome Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

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1. High-dimensional hypothesis testing for allometric extension model;Journal of Multivariate Analysis;2023-09

2. Testing homogeneity: the trouble with sparse functional data;Journal of the Royal Statistical Society Series B: Statistical Methodology;2023-04-03

3. James–Stein for the leading eigenvector;Proceedings of the National Academy of Sciences;2023-01-05

4. Minimum cost‐compression risk in principal component analysis;Australian & New Zealand Journal of Statistics;2022-12

5. Polynomial whitening for high-dimensional data;Computational Statistics;2022-09-08
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