research
∙
02/20/2022
Smooth multi-period forecasting with application to prediction of COVID-19 cases
Forecasting methodologies have always attracted a lot of attention and h...
share
research
∙
03/05/2021
Elastic Net Regularization Paths for All Generalized Linear Models
The lasso and elastic net are popular regularized regression models for ...
research
∙
06/02/2020
Feature-weighted elastic net: using "features of features" for better prediction
In some supervised learning settings, the practitioner might have additi...
research
∙
12/04/2019
Reluctant additive modeling
Sparse generalized additive models (GAMs) are an extension of sparse gen...
research
∙
12/04/2019
Reluctant generalized additive modeling
Sparse generalized additive models (GAMs) are an extension of sparse gen...
research
∙
10/10/2018
Principal component-guided sparse regression
We propose a new method for supervised learning, especially suited to wi...
research
∙
07/16/2018
