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stat.ME2025
The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates
Eric Yanchenko, Kaoru Irie, Shonosuke Sugasawa
Shrinkage priors are a popular Bayesian paradigm to handle sparsity in high-dimensional regression. Still limited, however, is a flexible class of shrinkage priors to handle groupe…
stat.ME2025
Pseudo-R2D2 prior for high-dimensional ordinal regression
Eric Yanchenko
Ordinal regression with a high-dimensional covariate space has many important application areas including gene expression studies. The lack of an intrinsic numeric value associated…
stat.ME2024
Mediation analysis of community context effects on heart failure using the survival R2D2 prior
Brandon R. Feng, Eric Yanchenko, K. Lloyd Hill +3
Congestive heart failure (CHF) is a leading cause of morbidity, mortality and healthcare costs, impacting 23 million individuals worldwide. Large electronic health records data…