64 citations · 120 across the 29 of their papers we have counts for
3 papers · 1 filter
Nonparametric Variable Selection, Clustering and Prediction for High-Dimensional Regression
Subharup Guha, Veerabhadran Baladandayuthapani
The development of parsimonious models for reliable inference and prediction of responses in high-dimensional regression settings is often challenging due to relatively small sampl…
Statistical Tests for Large Tree-structured Data
Karthik Bharath, Prabhanjan Kambadur, Dipak. K. Dey +2
We develop a general statistical framework for the analysis and inference of large tree-structured data, with a focus on developing asymptotic goodness-of-fit tests. We first propo…
Bayesian sparse graphical models for classification with application to protein expression data
Veerabhadran Baladandayuthapani, Rajesh Talluri, Yuan Ji +5
Reverse-phase protein array (RPPA) analysis is a powerful, relatively new platform that allows for high-throughput, quantitative analysis of protein networks. One of the challenges…