3 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
A Theoretical Framework for Bayesian Nonparametric Regression
Fangzheng Xie, Wei Jin, Yanxun Xu
We develop a unifying framework for Bayesian nonparametric regression to study the rates of contraction with respect to the integrated -distance without assuming the regressio…
Adaptive Bayesian nonparametric regression using kernel mixture of polynomials with application to partial linear model
Fangzheng Xie, Yanxun Xu
We propose a kernel mixture of polynomials prior for Bayesian nonparametric regression. The regression function is modeled by local averages of polynomials with kernel mixture weig…
Bayesian Repulsive Gaussian Mixture Model
Fangzheng Xie, Yanxun Xu
We develop a general class of Bayesian repulsive Gaussian mixture models that encourage well-separated clusters, aiming at reducing potentially redundant components produced by ind…
BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq Counts
Fangzheng Xie, Mingyuan Zhou, Yanxun Xu
Tumor is heterogeneous - a tumor sample usually consists of a set of subclones with distinct transcriptional profiles and potentially different degrees of aggressiveness and respon…