7 papers
Spectral analysis of large dimensional Chatterjee's rank correlation matrix
Zhaorui Dong, Fang Han, Jianfeng Yao
This paper studies the spectral behavior of large dimensional Chatterjee's rank correlation matrix when observations are independent draws from a high-dimensional random vector wit…
Limit theorems of matching estimators with a fixed number of matches
Songliang Chen, Fang Han
This paper re-examines the limit theorems of Abadie and Imbens for nearest-neighbor matching estimators of average treatment effects with a fixed number of matches. We establish, f…
Decoupling and randomization for double-indexed permutation statistics
Mingxuan Zou, Jingfan Xu, Peng Ding +1
This paper introduces a version of decoupling and randomization to establish concentration inequalities for double-indexed permutation statistics. The results yield, among other ap…
Generative modeling for the bootstrap
Leon Tran, Ting Ye, Peng Ding +1
Generative modeling builds on and substantially advances the classical idea of simulating synthetic data from observed samples. This paper shows that this principle is not only nat…
Bias correction for Chatterjee's graph-based correlation coefficient
Mona Azadkia, Leihao Chen, Fang Han
Azadkia and Chatterjee (2021) recently introduced a simple nearest neighbor (NN) graph-based correlation coefficient that consistently detects both independence and functional depe…
Structure of the with Hamiltonian Effective Field Theory
Fang-Chao Han, Zhan-Wei Liu, Derek B. Leinweber +1
We investigate the internal structure of the by analyzing lattice QCD simulation and experimental data within Hamiltonian effective field theory, considering both $J^P…