Invidious comparisons: Ranking and selection as compound decisions
There is an innate human tendency, one might call it the “league table mentality,” to
construct rankings. Schools, hospitals, sports teams, movies, and myriad other objects are …
construct rankings. Schools, hospitals, sports teams, movies, and myriad other objects are …
REBayes: an R package for empirical Bayes mixture methods
Abstract Models of unobserved heterogeneity, or frailty as it is commonly known in survival
analysis, can often be formulated as semiparametric mixture models and estimated by …
analysis, can often be formulated as semiparametric mixture models and estimated by …
Covariate-assisted ranking and screening for large-scale two-sample inference
Two-sample multiple testing has a wide range of applications. The conventional practice first
reduces the original observations to a vector of p-values and then chooses a cut-off to adjust …
reduces the original observations to a vector of p-values and then chooses a cut-off to adjust …
Large-scale global and simultaneous inference: Estimation and testing in very high dimensions
Due to rapid technological advances, researchers are now able to collect and analyze ever
larger data sets. Statistical inference for big data often requires solving thousands or even …
larger data sets. Statistical inference for big data often requires solving thousands or even …
A diagnostic procedure for high-dimensional data streams via missed discovery rate control
Monitoring complex systems involving high-dimensional data streams (HDS) provides quick
real-time detection of abnormal changes of system performance, but accurate and efficient …
real-time detection of abnormal changes of system performance, but accurate and efficient …
Empirical partially Bayes multiple testing and compound decisions
N Ignatiadis, B Sen - arXiv preprint arXiv:2303.02887, 2023 - arxiv.org
We study multiple testing in the normal means problem with estimated variances that are
shrunk through empirical Bayes methods. The situation is asymmetric in that a prior is …
shrunk through empirical Bayes methods. The situation is asymmetric in that a prior is …
Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions
In the evaluation of treatment effects, it is of major policy interest to know if the treatment is
beneficial for some and harmful for others, a phenomenon known as qualitative interaction …
beneficial for some and harmful for others, a phenomenon known as qualitative interaction …
Fault classification for high‐dimensional data streams: A directional diagnostic framework based on multiple hypothesis testing
In various modern statistical process control applications that involve high‐dimensional data
streams (HDDS), accurate fault diagnosis of out‐of‐control (OC) streams is becoming …
streams (HDDS), accurate fault diagnosis of out‐of‐control (OC) streams is becoming …
Nonparametric empirical bayes estimation on heterogeneous data
The simultaneous estimation of many parameters based on data collected from
corresponding studies is a key research problem that has received renewed attention in the …
corresponding studies is a key research problem that has received renewed attention in the …
Weighted p-value procedures for controlling FDR of grouped hypotheses
H Zhao, J Zhang - Journal of Statistical Planning and Inference, 2014 - Elsevier
In this paper, we consider the multiple testing problems for grouped hypotheses. Two
procedures are proposed based on weighted p-values, where the weights for p-values are …
procedures are proposed based on weighted p-values, where the weights for p-values are …