On the Precision Matrix in Semi-High-Dimensional Settings
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-43469-4_15
Reference20 articles.
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3. Byrd, R. H., Lu, P., Nocedal, J., & Zhu, C. (1995). A limited memory algorithm for bound constrained optimization. SIAM Journal on Scientific Computing, 16, 1190–1208.
4. Engel, J., Buydens, L., & Blanchet, L. (2017). An overview of large-dimensional covariance and precision matrix estimator with applications in chemometrics. Journal of Chemometrics, 31, article e2880.
5. Friedman, J., Hastie, T., & Tibshirani, R. (2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9, 432–441.
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