3 papers
stat.ME2021
On the Use of Minimum Penalties in Statistical Learning
Ben Sherwood, Bradley S. Price
Modern multivariate machine learning and statistical methodologies estimate parameters of interest while leveraging prior knowledge of the association between outcome variables. Th…
stat.ML2020
Estimating Multiple Precision Matrices with Cluster Fusion Regularization
Bradley S. Price, Aaron J. Molstad, Ben Sherwood
We propose a penalized likelihood framework for estimating multiple precision matrices from different classes. Most existing methods either incorporate no information on relationsh…
stat.ME2017
Automatic Response Category Combination in Multinomial Logistic Regression
Bradley S. Price, Charles J. Geyer, Adam J. Rothman
We propose a penalized likelihood method that simultaneously fits the multinomial logistic regression model and combines subsets of the response categories. The penalty is non diff…