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08/09/2019
Goodness-of-fit testing in high-dimensional generalized linear models
We propose a family of tests to assess the goodness-of-fit of a high-dim...
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01/31/2018
De-biased sparse PCA: Inference and testing for eigenstructure of large covariance matrices
Sparse principal component analysis (sPCA) has become one of the most wi...
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01/25/2018
