4 papers · 1 filter
Multiway sparse distance weighted discrimination
Bin Guo, Lynn E. Eberly, Pierre-Gilles Henry +2
Modern data often take the form of a multiway array. However, most classification methods are designed for vectors, i.e., 1-way arrays. Distance weighted discrimination (DWD) is a…
Bayesian Distance Weighted Discrimination
Eric F. Lock
Distance weighted discrimination (DWD) is a linear discrimination method that is particularly well-suited for classification tasks with high-dimensional data. The DWD coefficients…
Bayesian variable selection in hierarchical difference-in-differences models
James Normington, Eric F. Lock, Thomas A. Murray +1
A popular method for estimating a causal treatment effect with observational data is the difference-in-differences (DiD) model. In this work, we consider an extension of the classi…
Generalized Integrative Principal Component Analysis for Multi-Type Data with Block-Wise Missing Structure
Huichen Zhu, Gen Li, Eric F. Lock
High-dimensional multi-source data are encountered in many fields. Despite recent developments on the integrative dimension reduction of such data, most existing methods cannot eas…