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stat.ME2025
Reluctant Interaction Inference after Additive Modeling
Yiling Huang, Snigdha Panigrahi, Guo Yu +1
Additive models enjoy the flexibility of nonlinear models while still being readily understandable to humans. By contrast, other nonlinear models, which involve interactions betwee…
stat.ME2024
Convex Estimation of Gaussian Graphical Regression Models with Covariates
Ruobin Liu, Guo Yu
Gaussian graphical models (GGMs) are widely used to recover the conditional independence structure among random variables. Recent work has sought to incorporate auxiliary covariate…
stat.ME2024
Reluctant Interaction Modeling in Generalized Linear Models
Hai Lu, Guo Yu
While including pairwise interactions in a regression model can better approximate response surface, fitting such an interaction model is a well-known difficult problem. In particu…