| 2026-08 |
Transfer learning for error-contaminated Poisson regression models |
conference |
pdf(4) |
| 2026-08 |
Accelerated failure time models with error-prone response and nonlinear covariates |
conference |
pdf(4) |
| 2026-07 |
Boosting method for length-biased and partly interval-censored survival data with error-prone covariates |
conference |
pdf(1) |
| 2026-06 |
Multiclassification for high-dimensional error-prone gene expression data |
conference |
pdf(7) |
| 2026-05 |
Accelerated Failure Time Models with Error-Prone Response and Nonlinear Covariates |
conference |
說明頁(161) |
| 2026-03 |
Graphical Models for Ultrahigh-Dimensional and Error-Prone Data by the Boosting Algorithm |
conference |
pdf(0) |
| 2025-12 |
A boosting method for length-biased and partly interval-censored survival data with high-dimensional error-prone covariates |
conference |
pdf(9) |
| 2025-12 |
GUEST: Graphical models for ultrahigh-dimensional and error-prone data by the boosting algorithm |
conference |
pdf(66) |
| 2025-11 |
A Marriage of Survival Data Analysis and Graphical Models in Statistical Machine Learning |
conference |
pdf(63) |
| 2025-11 |
Graphical models for ultrahigh-dimensional and error-prone data |
conference |
說明頁(112) |
| 2025-08 |
Estimation of the average treatment effect with error-prone confounders |
conference |
說明頁(69) |
| 2024-12 |
Analysis of gene expression data subject to measurement error in binary responses and predictors |
conference |
說明頁(56) |
| 2024-09 |
Causal inference with high-dimensional error-prone covariates and misclassified treatments |
conference |
說明頁(312) |
| 2024-06 |
Analysis of Length-Biased and Partly Interval-Censored Survival Data with Mismeasured Covariates |
conference |
pdf(357) |
| 2024-06 |
Boosting method for length-biased and interval-censored survival data subject to high-dimensional error-prone covariates |
conference |
pdf(361) |
| 2024-06 |
Variable selection and estimation for length-biased and partly interval-censored survival data with mismeasured covariates |
conference |
pdf(309) |
| 2023-08 |
Variable selection and estimation for the average treatment effect with error-prone confounders |
conference |
說明頁(459) |
| 2023-08 |
A boosting method for variable selection and estimation with error-prone responses and predictors |
conference |
說明頁(937) |
| 2023-07 |
BOOME: A boosting method for variable selection and estimation with measurement error in binary responses and predictors |
conference |
說明頁(541) |
| 2023-06 |
Boosting method for length-biased and interval-censored survival data subject to high-dimensional error-prone covariates |
conference |
pdf(409) |
| 2023-05 |
Variable selection and estimation for the average treatment effect with error-prone confounders |
conference |
說明頁(477) |
| 2022-12 |
Variable selection and estimation for misclassified responses and high-dimensional error-prone predictors |
conference |
pdf(433) |
| 2022-12 |
Variable selection and estimation for the average treatment effect with error-prone confounders |
conference |
說明頁(421) |
| 2022-12 |
Measurement Error Correction for EWMA p-Charts |
conference |
說明頁(921) |
| 2022-06 |
Network-based discriminant analysis for multiclassification |
conference |
說明頁(676) |
