Niansheng Tang
Biographic Data
| ID | 7569508 |
|---|---|
| NAME | Niansheng Tang |
| GIVEN NAMES | Niansheng |
| FAMILY NAME | Tang |
| SIGNATURE | TANG N |
| AFFILIATIONS | Yunnan University |
| ORCID | 0000-0001-7033-3845 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The impact of green digital economy on carbon emission efficiency of financial industry
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…
The impact of green digital economy on carbon emission efficiency of financial industry
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) · Business (1 work)