194 citations · 231 across the 3 of their papers we have counts for
3 papers · 1 filter
MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing
Zihao Zheng, Aisha M. Mergaert, Irene M. Ong +2
Peptide microarrays have emerged as a powerful technology in immunoproteomics as they provide a tool to measure the abundance of different antibodies in patient serum samples. The…
Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data
TIen Vo, Vamsi Ithapu, Vikas Singh +1
For large-scale testing with graph-associated data, we present an empirical Bayes mixture technique to score local false discovery rates. Compared to empirical Bayes procedures tha…
Weighted Bayesian Bootstrap for Scalable Bayes
Michael Newton, Nicholas G. Polson, Jianeng Xu
We develop a weighted Bayesian Bootstrap (WBB) for machine learning and statistics. WBB provides uncertainty quantification by sampling from a high dimensional posterior distributi…