ArticleIEEE transactions on information theory2014
Calibrated Precision Matrix Estimation for High-Dimensional Elliptical Distributions.
Article in IEEE transactions on information theory, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A Novel Approach of High Dimensional Linear Hypothesis Testing Problem.Journal of the American Statistical Association · 2025Article
- Large Precision Matrix Estimation with Unknown Group Structure.Journal of the American Statistical Association · 2025Article
- Accelerated Path-following Iterative Shrinkage Thresholding Algorithm with Application to Semiparametric Graph Estimation.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2016Article
- Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery.Journal of machine learning research : JMLR · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We propose a semiparametric method for estimating a precision matrix of high-dimensional elliptical distributions. Unlike most existing methods, our method naturally handles heavy tailness and conducts parameter estimation under a calibration framework, thus achieves improved theoretical rates of convergence and finite sample performance on heavy-tail applications. We further demonstrate the performance of the proposed method using thorough numerical experiments.
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Registered trials
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