13 citations · 13 across the 1 of their papers we have counts for
5 papers
Neyman-Pearson Classification under High-Dimensional Settings
Anqi Zhao, Yang Feng, Lie Wang +1
Most existing binary classification methods target on the optimization of the overall classification risk and may fail to serve some real-world applications such as cancer diagnosi…
How Many Communities Are There?
Diego Franco Saldana, Yi Yu, Yang Feng
Stochastic blockmodels and variants thereof are among the most widely used approaches to community detection for social networks and relational data. A stochastic blockmodel partit…
Modified Cross-Validation for Penalized High-Dimensional Linear Regression Models
Yi Yu, Yang Feng
In this paper, for Lasso penalized linear regression models in high-dimensional settings, we propose a modified cross-validation method for selecting the penalty parameter. The met…
Likelihood Adaptively Modified Penalties
Yang Feng, Tengfei Li, Zhiliang Ying
A new family of penalty functions, adaptive to likelihood, is introduced for model selection in general regression models. It arises naturally through assuming certain types of pri…
APPLE: Approximate Path for Penalized Likelihood Estimators
Yi Yu, Yang Feng
In high-dimensional data analysis, penalized likelihood estimators are shown to provide superior results in both variable selection and parameter estimation. A new algorithm, APPLE…