5 citations · 6 across the 4 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2022
A scalable and flexible Cox proportional hazards model for high-dimensional survival prediction and functional selection
Boyi Guo, Nengjun Yi
Cox proportional hazards model is one of the most popular models in biomedical data analysis. There have been continuing efforts to improve the flexibility of such models for compl…
stat.ME2021★ 5 cited
Spike-and-Slab LASSO Generalized Additive Models and Scalable Algorithms for High-Dimensional Data Analysis
Boyi Guo, Byron C. Jaeger, A. K. M. Fazlur Rahman +2
There are proposals that extend the classical generalized additive models (GAMs) to accommodate high-dimensional data () using group sparse regularization. However, the spars…