72 citations · 187 across the 4 of their papers we have counts for
5 papers · 1 filter
Properties of higher criticism under strong dependence
Peter Hall, Jiashun Jin
The problem of signal detection using sparse, faint information is closely related to a variety of contemporary statistical problems, including the control of false-discovery rate,…
Estimation and confidence sets for sparse normal mixtures
T. Tony Cai, Jiashun Jin, Mark G. Low
For high dimensional statistical models, researchers have begun to focus on situations which can be described as having relatively few moderately large coefficients. Such situation…
Estimating the Null and the Proportion of non-Null effects in Large-scale Multiple Comparisons
Jiashun Jin, T. Tony Cai
An important issue raised by Efron in the context of large-scale multiple comparisons is that in many applications the usual assumption that the null distribution is known is incor…
Asymptotic minimaxity of False Discovery Rate thresholding for sparse exponential data
David Donoho, Jiashun Jin
We apply FDR thresholding to a non-Gaussian vector whose coordinates X_i, i=1,..., n, are independent exponential with individual means . The vector is thought to be…
Higher criticism for detecting sparse heterogeneous mixtures
David Donoho, Jiashun Jin
Higher criticism, or second-level significance testing, is a multiple-comparisons concept mentioned in passing by Tukey. It concerns a situation where there are many independent te…