1 citations · 1 across the 4 of their papers we have counts for
6 papers
Sparse Sliced Inverse Regression via Cholesky Matrix Penalization
Linh Nghiem, Francis K. C. Hui, Samuel Mueller +1
We introduce a new sparse sliced inverse regression estimator called Cholesky matrix penalization and its adaptive version for achieving sparsity in estimating the dimensions of th…
Screening methods for linear errors-in-variables models in high dimensions
Linh Nghiem, Francis K. C. Hui, Samuel Mueller +1
Microarray studies, in order to identify genes associated with an outcome of interest, usually produce noisy measurements for a large number of gene expression features from a smal…
Bayesian Regularization of Gaussian Graphical Models with Measurement Error
Michael Byrd, Linh Nghiem, Monnie McGee
We consider a framework for determining and estimating the conditional pairwise relationships of variables when the observed samples are contaminated with measurement error in high…
Estimation in linear errors-in-variables models with unknown error distribution
Linh Nghiem, Michael Byrd, Cornelis Potgieter
Parameter estimation in linear errors-in-variables models typically requires that the measurement error distribution be known (or estimable from replicate data). A generalized meth…
Simulation-Selection-Extrapolation: Estimation in High-Dimensional Errors-in-Variables Models
Linh Nghiem, Cornelis Potgieter
This paper considers errors-in-variables models in a high-dimensional setting where the number of covariates can be much larger than the sample size, and there are only a small num…
A Heuristic Method for Scheduling Band Concert Tours
Linh Nghiem
Scheduling band concert tours is an important and challenging task faced by many band management companies and producers. A band has to perform in various cities over a period of t…