42 citations · 66 across the 10 of their papers we have counts for
Showing 2014Show all
3 papers · 1 filter
stat.ME2014★ 1 cited
Optimal Kernel Combination for Test of Independence against Local Alternatives
Wen-Yu Hua, Philip Reiss, Debashis Ghosh
Testing the independence between two random variables and is an important problem in statistics and machine learning, where the kernel-based tests of independence is focuse…
stat.ML2014★ 2 cited
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies
Wen-Yu Hua, Debashis Ghosh
Associating genetic markers with a multidimensional phenotype is an important yet challenging problem. In this work, we establish the equivalence between two popular methods: kerne…
stat.CO2014★ 3 cited
Multiple Comparison Procedures for Neuroimaging Genomewide Association Studies
Wen-Yu Hua, Thomas E. Nichols, Debashis Ghosh +1
Recent research in neuroimaging has focused on assessing associations between genetic variants that are measured on a genomewide scale and brain imaging phenotypes. A large number…