Jinhan Xie
Biographic Data
| ID | 8920067 |
|---|---|
| NAME | Jinhan Xie |
| GIVEN NAMES | Jinhan |
| FAMILY NAME | Xie |
| SIGNATURE | XIE J |
| AFFILIATIONS | Department of Statistics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China |
| ORCID | 0000-0001-7407-8474 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design
Confidence sets are of key importance in high-dimensional statistical inference. Under case–control study, a popular response-selective sampling design in medical study or econometrics, we consider the confidence intervals and statistical tests for single or low-dimensional parameters in high-dimensional logistic regression model. The asymptotic properties of the resulting estimators are established under mild conditions. We also study statistica…
Quantile Correlation-based Variable Selection
This article is concerned with identifying important features in high-dimensional data analysis, especially when there are complex relationships among predictors. Without any specification of an actual model, we first introduce a multiple testing procedure based on the quantile correlation to select important predictors in high dimensionality. The quantile-correlation statistic is able to capture a wide range of dependence. A stepwise procedure i…
No prominent works on this page.
Quantile Correlation-based Variable Selection
This article is concerned with identifying important features in high-dimensional data analysis, especially when there are complex relationships among predictors. Without any specification of an actual model, we first introduce a multiple testing procedure based on the quantile correlation to select important predictors in high dimensionality. The quantile-correlation statistic is able to capture a wide range of dependence. A stepwise procedure i…
Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design
Confidence sets are of key importance in high-dimensional statistical inference. Under case–control study, a popular response-selective sampling design in medical study or econometrics, we consider the confidence intervals and statistical tests for single or low-dimensional parameters in high-dimensional logistic regression model. The asymptotic properties of the resulting estimators are established under mild conditions. We also study statistica…
Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Statistical Methods and Bayesian Inference (2 works) · Statistical Methods and Inference (2 works) · Statistics (2 works) · Applied Mathematics (1 work) · Artificial Intelligence (1 work) · Bayesian Methods and Mixture Models (1 work) · Confidence interval (1 work)