5 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.ME2021
Search Algorithms and Loss Functions for Bayesian Clustering
David B. Dahl, Devin J. Johnson, Peter Mueller
We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. Given the large size and…
stat.AP2018★ 4 cited
Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records
Yang Ni, Peter Mueller, Yuan Ji
We propose a categorical matrix factorization method to infer latent diseases from electronic health records (EHR) data in an unsupervised manner. A latent disease is defined as an…
stat.ME2014★ 5 cited
Bayesian Inference for Tumor Subclones Accounting for Sequencing and Structural Variants
Juhee Lee, Peter Mueller, Subhajit Sengupta +2
Tumor samples are heterogeneous. They consist of different subclones that are characterized by differences in DNA nucleotide sequences and copy numbers on multiple loci. Heterogene…