3 citations · 6 across the 5 of their papers we have counts for
5 papers
Stochastic Volatility Regression for Functional Data Dynamics
Bin Zhu, David B. Dunson
Although there are many methods for functional data analysis (FDA), little emphasis is put on characterizing variability among volatilities of individual functions. In particular,…
Signal extraction and breakpoint identification for array CGH data using robust state space model
Bin Zhu, Jeremy M. G. Taylor, Peter X. -K. Song
Array comparative genomic hybridization(CGH) is a high resolution technique to assess DNA copy number variation. Identifying breakpoints where copy number changes will enhance the…
Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes
Bin Zhu, David B. Dunson
We propose a nested Gaussian process (nGP) as a locally adaptive prior for Bayesian nonparametric regression. Specified through a set of stochastic differential equations (SDEs), t…
Adverse Subpopulation Regression for Multivariate Outcomes with High-Dimensional Predictors
Bin Zhu, David B. Dunson, Allison E. Ashley-Koch
Biomedical studies have a common interest in assessing relationships between multiple related health outcomes and high-dimensional predictors. For example, in reproductive epidemio…
Generalized Admixture Mapping for Complex Traits
Bin Zhu, Allison E. Ashley-Koch, David B. Dunson
Admixture mapping is a popular tool to identify regions of the genome associated with traits in a recently admixed population. Existing methods have been developed primarily for id…