7 citations · 7 across the 5 of their papers we have counts for
5 papers
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…
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…
A Cluster Elastic Net for Multivariate Regression
Bradley S. Price, Ben Sherwood
We propose a method for estimating coefficients in multivariate regression when there is a clustering structure to the response variables. The proposed method includes a fusion pen…
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…
Ridge Fusion in Statistical Learning
Bradley S. Price, Charles J. Geyer, Adam J. Rothman
We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering. A ridge penalty and…