602 citations · 1.2k across the 21 of their papers we have counts for
4 papers · 1 filter
Detecting Multiple Random Changepoints in Bayesian Piecewise Growth Mixture Models
Eric F Lock, Nidhi Kohli, Maitreyee Bose
Piecewise growth mixture models (PGMM) are a flexible and useful class of methods for analyzing segmented trends in individual growth trajectory over time, where the individuals co…
Linked Matrix Factorization
Michael J. O'Connell, Eric F. Lock
In recent years, a number of methods have been developed for the dimension reduction and decomposition of multiple linked high-content data matrices. Typically these methods assume…
Prediction with Dimension Reduction of Multiple Molecular Data Sources for Patient Survival
Adam Kaplan, Eric F. Lock
Predictive modeling from high-dimensional genomic data is often preceded by a dimension reduction step, such as principal components analysis (PCA). However, the application of PCA…
Tensor-on-tensor regression
Eric F. Lock
We propose a framework for the linear prediction of a multi-way array (i.e., a tensor) from another multi-way array of arbitrary dimension, using the contracted tensor product. Thi…