5 papers
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…
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…
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…
On a rank-based Azadkia-Chatterjee correlation coefficient
Leon Tran, Fang Han
Azadkia and Chatterjee (Azadkia and Chatterjee, 2021) recently introduced a graph-based correlation coefficient that has garnered significant attention. The method relies on a near…