The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
High‐Dimensional Covariance Estimation
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Citations
Cites
Sparse Principal Component Analysis
Zou, H., Hastie, T., & Tibshirani, R. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x113430 · Cited by 3,152
A well-conditioned estimator for large-dimensional covariance matrices
Ledoit, O., & Wolf, M. (2004) · Journal of Multivariate Analysis · doi:10.1016/s0047-259x(03)00096-4 · Cited by 3,046
Cited by
Challenges of Big Data analysis
Fan, J., Han, F., & Liu, H. (2014) · National Science Review · doi:10.1093/nsr/nwt032 · Cited by 1,482
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Fan, J., Liao, Y., & Mincheva, M. (2013) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12016 · Cited by 909
Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data
Serra, A., Coretto, P., Fratello, M., & Tagliaferri, R. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx642 · Cited by 25
Sparse principal component analysis for high-dimensional stationary time series
Fujimori, K., Goto, Y., Liu, Y., & Taniguchi, M. (2023) · Scandinavian Journal of Statistics · doi:10.1111/sjos.12664 · Cited by 7
Fast probabilistic whitening transformation for ultra-high dimensional genetic data
Hoffman, G. E., Dillard, C. P., Girdhar, K., & Roussos, P. (2026) · PLOS Genetics · doi:10.1371/journal.pgen.1012320
Metadata
- Authors
- Pourahmadi, M.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2013-06-24
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W309030641
- Cited by
- 162
- References
- 2
- FWCI
- 2.22
- Type
- book
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
