43 citations · 148 across the 15 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2023★ 13 cited
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data
Joachim Schaeffer, Eric Lenz, William C. Chueh +3
High-dimensional linear regression is important in many scientific fields. This article considers discrete measured data of underlying smooth latent processes, as is often obtained…
stat.ML2022★ 13 cited
Latent Variable Method Demonstrator -- Software for Understanding Multivariate Data Analytics Algorithms
Joachim Schaeffer, Richard Braatz
The ever-increasing quantity of multivariate process data is driving a need for skilled engineers to analyze, interpret, and build models from such data. Multivariate data analytic…