GeneticsbioRxivPreprint
Bayesian linear models with unknown design over finite alphabets
Yuexuan Wang, Andreas Futschik, Ritabrata Dutta
The paper introduces a hierarchical Bayesian method for reconstructing unknown matrices in a multivariate linear model with binary entries and a weight matrix, addressing permutation identifiability through order-preserving shrinkage priors.
DOI 10.1101/2022.10.20.513021