4 papers
Hypergraph Variable Selection with False Discovery Rate Control
Sarah Organ, Toby Kenney, Hong Gu
Variable selection methods that control the false discovery rate often lose power when predictors exhibit complex dependence structures. We previously showed that selecting hierarc…
Factor State Space Modelling of the Ornstein-Uhlenbeck Process with Measurement Error and its Application
Shanglun Li, Toby Kenney, Hong Gu
Standard Ornstein-Uhlenbeck (OU) models often yield biased parameter estimates when measurement error is ignored. While the Ornstein-Uhlenbeck State Space Model (OUSSM) addresses t…
Setwise Hierarchical Variable Selection and the Generalized Linear Step-Up Procedure for False Discovery Rate Control
Sarah Organ, Toby Kenney, Hong Gu
Controlling the false discovery rate (FDR) in variable selection becomes challenging when predictors are correlated, as existing methods often exclude all members of correlated gro…
Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model
Wensha Zhang, Lam Si Tung Ho, Toby Kenney
Sudden changes in environmental conditions can lead to evolutionary shifts not only in the optimal trait value, but also in the diffusion variance under the Ornstein-Uhlenbeck (OU)…