Long Feng

activity

20202026

most citedMax-sum tests for cross-sectional dependence of high-demensional panel data

1 citations · 1 across the 5 of their papers we have counts for

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Showing 2026 · stat.MEShow all

2 papers · 2 filters

stat.ME2026

High-Dimensional Two-Sample Inference via Marginal Likelihood-Ratio Rank Statistics

Xiaoxu Zhang, Long Feng

We develop a rank-based framework for high-dimensional two-sample testing that detects marginal distributional differences beyond means and variances. Three marginal likelihood-rat…

stat.ME2026

Rank-Based Tests for Mutual Independence of High-Dimensional Random Vectors via $L_{q}$ Norm

Ping Zhao, Hongfei Wang, Long Feng

We consider the problem of testing mutual independence among the components of a high-dimensional random vector. Building on the rank-based max-sum framework, we introduce fixed fi…

High-Dimensional Two-Sample Inference via Marginal Likelihood-Ratio Rank Statistics

Rank-Based Tests for Mutual Independence of High-Dimensional Random Vectors via Lq​ Norm

Rank-Based Tests for Mutual Independence of High-Dimensional Random Vectors via $L_{q}$ Norm