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08/11/2023
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
We investigate the problem of compound estimation of normal means while ...
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06/15/2023
Ranking and Selection in Large-Scale Inference of Heteroscedastic Units
The allocation of limited resources to a large number of potential candi...
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10/09/2022
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification
The uncertainty quantification and error control of classifiers are cruc...
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08/23/2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
This paper develops novel conformal methods to test whether a new observ...
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03/22/2022
Locally Adaptive Transfer Learning Algorithms for Large-Scale Multiple Testing
Transfer learning has enjoyed increasing popularity in a range of big da...
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11/06/2021
Empirical Bayes Control of the False Discovery Exceedance
In sparse large-scale testing problems where the false discovery proport...
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08/28/2021
ZAP: Z-value Adaptive Procedures for False Discovery Rate Control with Side Information
Adaptive multiple testing with covariates is an important research direc...
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03/04/2020
Large-Scale Shrinkage Estimation under Markovian Dependence
We consider the problem of simultaneous estimation of a sequence of depe...
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02/28/2020
Structure-Adaptive Sequential Testing for Online False Discovery Rate Control
Consider the online testing of a stream of hypotheses where a real–time ...
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02/28/2020
Nonparametric Empirical Bayes Estimation on Heterogeneous Data
The simultaneous estimation of many parameters η_i, based on a correspon...
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02/27/2020
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
We develop a new class of distribution–free multiple testing rules for f...
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10/20/2019
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
We develop a Nonparametric Empirical Bayes (NEB) framework for compound ...
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10/17/2019
Information Loss and Power Distortion from Standardizing in Multiple Hypothesis Testing
Standardization has been a widely adopted practice in multiple testing, ...
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11/29/2018
