The following pages link to Ben Sherwood (Q247586):
Displaying 17 items.
- A Cluster Elastic Net for Multivariate Regression (Q63195) (← links)
- (Q321934) (redirect page) (← links)
- Variable selection for additive partial linear quantile regression with missing covariates (Q321935) (← links)
- (Q589629) (redirect page) (← links)
- Quantile regression feature selection and estimation with grouped variables using Huber approximation (Q2080351) (← links)
- Asymptotic properties of concave \(L_1\)-norm group penalties (Q2288785) (← links)
- Model selection uncertainty and stability in beta regression models: a study of bootstrap-based model averaging with an empirical application to clickstream data (Q2686063) (← links)
- Quantile-Optimal Treatment Regimes (Q4559705) (← links)
- Comment (Q4975550) (← links)
- Estimating Multiple Precision Matrices With Cluster Fusion Regularization (Q5066469) (← links)
- Partially linear additive quantile regression in ultra-high dimension (Q5963523) (← links)
- Discussion (Q6064664) (← links)
- On the Use of Minimum Penalties in Statistical Learning (Q6552530) (← links)
- Bayesian network models for PTSD screening in veterans (Q6580539) (← links)
- A naïve Bayes regularized logistic regression estimator for low-dimensional classification (Q6596688) (← links)
- Detecting clusters in multivariate response regression (Q6602354) (← links)
- Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline (Q6625806) (← links)
