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20242026
most citedAnother Look at Bandwidth-free Inference: a Sample Splitting Approach

4 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

math.CO2026

Intersecting families of loose spanning hypertrees

Yury Person, Thomas Schweser

A loose hypertree is a hypergraph whose incidence graph is a tree. Let , , and . We determine the largest -intersecting families of lo…

math.ST2026

Online Change-Point Monitoring for Object-valued Time Series

Yi Zhang, Tim Kutta, Xiaofeng Shao

We develop closed- and open-end procedures for monitoring changes in the marginal distribution of object-valued time series. The method combines two distance-based Hilbert-space em…

stat.ME2026★ 2 cited

Hypothesis Testing for a Functional Parameter via Self-normalization

Yi Zhang, Xiaofeng Shao

Testing simple or composite hypothesis on a functional parameter has attracted considerable attention in time series analysis. To accommodate for the unknown temporal dependence, c…

stat.ME2026★ 4 cited

Another Look at Bandwidth-free Inference: a Sample Splitting Approach

Yi Zhang, Xiaofeng Shao

The bandwidth-free tests/inferences for a multi-dimensional parameter have attracted considerable attention in econometrics and statistics literature. These tests can be convenient…

stat.ME2026★ 1 cited

Change-Point Detection for Object-valued Time Series

Yi Zhang, Changbo Zhu, Xiaofeng Shao

This article is concerned with change point detection for object-valued data that reside in a metric space, which has attracted some recent interests in statistics and econometrics…

stat.ML2025

Testing Conditional Mean Independence Using Generative Neural Networks

Yi Zhang, Linjun Huang, Yun Yang +1

Conditional mean independence (CMI) testing is crucial for statistical tasks including model determination and variable importance evaluation. In this work, we introduce a novel po…

stat.ME2024

Doubly Robust Conditional Independence Testing with Generative Neural Networks

Yi Zhang, Linjun Huang, Yun Yang +1

This article addresses the problem of testing the conditional independence of two generic random vectors and given a third random vector , which plays an important role…