Yukun Ma
Biographic Data
| ID | 6124780 |
|---|---|
| NAME | Yukun Ma |
| GIVEN NAMES | Yukun |
| FAMILY NAME | Ma |
| SIGNATURE | MA Y |
| AFFILIATIONS | Southeast University |
| ORCID | 0009-0004-3217-6489 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Double/Debiased Machine Learning for Dyadic Data
This article presents novel methods and theories for estimation and inference about parameters in statistical models using machine learning for nuisance parameter estimation when data are dyadic. We propose a dyadic cross-fitting method to remove over-fitting biases under arbitrary dyadic dependence. Together with the use of Neyman orthogonal scores, this novel cross-fitting method enables root- n consistent estimation and inference robustly agai…
Potential active fractions and constituents in the flowers of Trollius chinensis Bunge responsible for treating acute pharyngitis
Structural health monitoring and quantitative safety evaluation methods for ancient stone arch bridges
Multiway Cluster Robust Double/Debiased Machine Learning
This article investigates double/debiased machine learning (DML) under multiway clustered sampling environments. We propose a novel multiway cross-fitting algorithm and a multiway DML estimator based on this algorithm. We also develop a multiway cluster robust standard error formula. Simulations indicate that the proposed procedure has favorable finite sample performance. Applying the proposed method to market share data for demand analysis, we o…
No prominent works on this page.
Multiway Cluster Robust Double/Debiased Machine Learning
This article investigates double/debiased machine learning (DML) under multiway clustered sampling environments. We propose a novel multiway cross-fitting algorithm and a multiway DML estimator based on this algorithm. We also develop a multiway cluster robust standard error formula. Simulations indicate that the proposed procedure has favorable finite sample performance. Applying the proposed method to market share data for demand analysis, we o…
Structural health monitoring and quantitative safety evaluation methods for ancient stone arch bridges
Potential active fractions and constituents in the flowers of Trollius chinensis Bunge responsible for treating acute pharyngitis
Double/Debiased Machine Learning for Dyadic Data
This article presents novel methods and theories for estimation and inference about parameters in statistical models using machine learning for nuisance parameter estimation when data are dyadic. We propose a dyadic cross-fitting method to remove over-fitting biases under arbitrary dyadic dependence. Together with the use of Neyman orthogonal scores, this novel cross-fitting method enables root- n consistent estimation and inference robustly agai…
Statistical Methods and Inference (2 works) · Acute Pharyngitis (1 work) · Alternative medicine (1 work) · Arch (1 work) · Bayesian Methods and Mixture Models (1 work) · Bronchitis (1 work) · Chromatography in Natural Products (1 work) · Civil engineering (1 work) · Complex Systems and Time Series Analysis (1 work) · Computer Science (1 work)