49 citations · 181 across the 10 of their papers we have counts for
3 papers · 1 filter
Heterogeneous Reciprocal Graphical Models
Yang Ni, Peter Mueller, Yitan Zhu +1
We develop novel hierarchical reciprocal graphical models to infer gene networks from heterogeneous data. In the case of data that can be naturally divided into known groups, we pr…
MAD Bayes for Tumor Heterogeneity Feature Allocation with Non-Normal Sampling
Yanxun Xu, Peter Mueller, Yuan Yuan +2
We propose small-variance asymptotic approximations for the inference of tumor heterogeneity (TH) using next-generation sequencing data. Understanding TH is an important and open r…
Defining Predictive Probability Functions for Species Sampling Models
Jaeyong Lee, Fernando A. Quintana, Peter Müller +1
We review the class of species sampling models (SSM). In particular, we investigate the relation between the exchangeable partition probability function (EPPF) and the predictive p…