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Published in 2017 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2017.1375112
Abstract: ABSTRACT Statistical inferences in high-dimensional precision matrices are equally important as statistical inferences in high-dimensional covariance matrices. In the literature, much attention has been paid to the latter, and significant advances have been achieved, especially…
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Keywords:
test bandedness;
high dimensional;
dimensional precision;
precision matrices ... See more keywords
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Published in 2018 at "Biometrika"
DOI: 10.1093/biomet/asy011
Abstract: High-dimensional data are often most plausibly generated from distributions with complex structure and leptokurtosis in some or all components. Covariance and precision matrices provide a useful summary of such structure, yet the performance of popular…
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Keywords:
covariance precision;
high dimensional;
assumption;
precision matrices ... See more keywords
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Published in 2021 at "Electronic Journal of Statistics"
DOI: 10.1214/21-ejs1904
Abstract: Estimation of sparse, high-dimensional precision matrices is an important and challenging problem. Existing methods all assume that observations can be made precisely but, in practice, this often is not the case; for example, the instruments…
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Keywords:
error;
measurement error;
estimation sparse;
precision matrices ... See more keywords