4 citations · 4 across the 4 of their papers we have counts for
6 papers
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification
Bowen Gang, Yuantao Shi, Wenguang Sun
The uncertainty quantification and error control of classifiers are crucial in many high-consequence decision-making scenarios. We propose a selective classification framework that…
Large-Scale Shrinkage Estimation under Markovian Dependence
Bowen Gang, Gourab Mukherjee, Wenguang Sun
We consider the problem of simultaneous estimation of a sequence of dependent parameters that are generated from a hidden Markov model. Based on observing a noise contaminated vect…
Structure-Adaptive Sequential Testing for Online False Discovery Rate Control
Bowen Gang, Wenguang Sun, Weinan Wang
Consider the online testing of a stream of hypotheses where a real--time decision must be made before the next data point arrives. The error rate is required to be controlled at {a…
Heterocedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing
Luella Fu, Bowen Gang, Gareth M. James +1
Standardization has been a widely adopted practice in multiple testing, for it takes into account the variability in sampling and makes the test statistics comparable across differ…
Adaptive Sparse Estimation with Side Information
Trambak Banerjee, Gourab Mukherjee, Wenguang Sun
The article considers the problem of estimating a high-dimensional sparse parameter in the presence of side information that encodes the sparsity structure. We develop a general fr…
Optimal design for high-throughput screening via false discovery rate control
Tao Feng, Pallavi Basu, Wenguang Sun +2
High-throughput screening (HTS) is a large-scale hierarchical process in which a large number of chemicals are tested in multiple stages. Conventional statistical analyses of HTS s…