| 2025-12 |
A boosting method for length-biased and partly interval-censored survival data with high-dimensional error-prone covariates |
conference |
pdf(5) |
| 2025-12 |
GUEST: Graphical models for ultrahigh-dimensional and error-prone data by the boosting algorithm |
conference |
pdf(25) |
| 2025-11 |
A Marriage of Survival Data Analysis and Graphical Models in Statistical Machine Learning |
conference |
pdf(4) |
| 2025-11 |
Graphical models for ultrahigh-dimensional and error-prone data |
conference |
說明頁(41) |
| 2025-08 |
Estimation of the average treatment effect with error-prone confounders |
conference |
說明頁(40) |
| 2024-12 |
Analysis of gene expression data subject to measurement error in binary responses and predictors |
conference |
說明頁(29) |
| 2024-09 |
Causal inference with high-dimensional error-prone covariates and misclassified treatments |
conference |
說明頁(266) |
| 2024-06 |
Boosting method for length-biased and interval-censored survival data subject to high-dimensional error-prone covariates |
conference |
pdf(358) |
| 2024-06 |
Variable selection and estimation for length-biased and partly interval-censored survival data with mismeasured covariates |
conference |
pdf(289) |
| 2024-06 |
Analysis of Length-Biased and Partly Interval-Censored Survival Data with Mismeasured Covariates |
conference |
pdf(345) |
| 2023-08 |
Variable selection and estimation for the average treatment effect with error-prone confounders |
conference |
說明頁(430) |
| 2023-08 |
A boosting method for variable selection and estimation with error-prone responses and predictors |
conference |
說明頁(912) |
| 2023-07 |
BOOME: A boosting method for variable selection and estimation with measurement error in binary responses and predictors |
conference |
說明頁(513) |
| 2023-06 |
Boosting method for length-biased and interval-censored survival data subject to high-dimensional error-prone covariates |
conference |
pdf(407) |
| 2023-05 |
Variable selection and estimation for the average treatment effect with error-prone confounders |
conference |
說明頁(434) |
| 2022-12 |
Variable selection and estimation for the average treatment effect with error-prone confounders |
conference |
說明頁(389) |
| 2022-12 |
Variable selection and estimation for misclassified responses and high-dimensional error-prone predictors |
conference |
pdf(431) |
| 2022-12 |
Measurement Error Correction for EWMA p-Charts |
conference |
說明頁(893) |
| 2022-06 |
Boosting method for length-biased and interval-censored survival data subject to high-dimensional error-prone covariates |
conference |
說明頁(661) |
| 2022-06 |
Network-based discriminant analysis for multiclassification |
conference |
說明頁(652) |
| 2021-12 |
Network based discriminant analysis for multiclassification |
conference |
pdf(393) |
| 2021-10 |
Quality control under nonparametric bivariate location and dispersion processes |
conference |
pdf(560) |
| 2019-07 |
Support Vector Machine with Graphical Network Structures in Features |
conference |
說明頁(505) |
