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04/20/2021
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization
We introduce a new sparse sliced inverse regression estimator called Cho...
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04/20/2021
Screening methods for linear errors-in-variables models in high dimensions
Microarray studies, in order to identify genes associated with an outcom...
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07/04/2019
Bayesian Regularization of Gaussian Graphical Models with Measurement Error
We consider a framework for determining and estimating the conditional p...
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12/03/2018
Estimation in linear errors-in-variables models with unknown error distribution
Parameter estimation in linear errors-in-variables models typically requ...
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08/30/2018
Simulation-Selection-Extrapolation: Estimation in High-Dimensional Errors-in-Variables Models
This paper considers errors-in-variables models in a high-dimensional se...
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10/09/2017