Controlling false discovery rate (FDR) is crucial for variable selection...
In this work, we study the pandemic course in the United States by
consi...
With the rapid development of quantum computers, quantum algorithms have...
This paper studies the estimation of large-scale optimal transport maps
...
This paper proposes a model-free and data-adaptive feature screening met...
This paper proposes a model-free and data-adaptive feature screening met...
We offer a survey of selected recent results on covariance estimation fo...
We propose user-friendly covariance matrix estimators that are robust ag...
Large-scale multiple testing with correlated and heavy-tailed data arise...