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stat.ME2022
Direct covariance matrix estimation with compositional data
Aaron J. Molstad, Karl Oskar Ekvall, Piotr M. Suder
Compositional data arise in many areas of research in the natural and biomedical sciences. One prominent example is in the study of the human gut microbiome, where one can measure…
stat.ME2022
Multiresolution categorical regression for interpretable cell type annotation
Aaron J. Molstad, Keshav Motwani
In many categorical response regression applications, the response categories admit a multiresolution structure. That is, subsets of the response categories may naturally be combin…
stat.ME2022★ 1 cited
Conditional probability tensor decompositions for multivariate categorical response regression
Aaron J. Molstad, Xin Zhang
In many modern regression applications, the response consists of multiple categorical random variables whose probability mass is a function of a common set of predictors. In this a…