149 citations · 167 across the 9 of their papers we have counts for
3 papers · 1 filter
On the universal calibration of heavy-tailed combination tests
Parijat Chakraborty, F. Richard Guo, Kerby Shedden +1
It is often of interest to test a global null hypothesis using multiple, possibly dependent -values by combining their strengths while controlling the type-I error. Recently, se…
Kronecker sum covariance models for spatio-temporal data
Shuheng Zhou, Seyoung Park, Kerby Shedden
In this paper, we study the subgaussian matrix variate model, where we observe the matrix variate data which consists of a signal matrix and a noise matrix . More spec…
Optimal group testing designs for estimating prevalence with uncertain testing errors
Shih-Hao Huang, Mong-Na Lo Huang, Kerby Shedden +1
We construct optimal designs for group testing experiments where the goal is to estimate the prevalence of a trait by using a test with uncertain sensitivity and specificity. Using…