We develop a post-selection inference method for the Cox proportional ha...
Since its development, the minimax framework has been one of the corner
...
Unsupervised learning has been widely used in many real-world applicatio...
International large-scale assessments (ILSAs) play an important role in
...
One of the fundamental problems in network analysis is detecting communi...
Estimating a low rank matrix from its linear measurements is a problem o...
A recently proposed SLOPE estimator (arXiv:1407.3824) has been shown to
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Motivated by portfolio allocation and linear discriminant analysis, we
c...
In this paper, we study the popularly dubbed matrix completion problem, ...
We consider a probit model without covariates, but the latent Gaussian
v...