Saved in:
| Main Authors: | Liu, Yang, Liu, Yukun, Li, Pengfei, Qin, Jing, Zhu, Lin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.14486 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models
by: Liu, Yang, et al.
Published: (2022)
by: Liu, Yang, et al.
Published: (2022)
Instability of inverse probability weighting methods and a remedy for non-ignorable missing data
by: Li, Pengfei, et al.
Published: (2025)
by: Li, Pengfei, et al.
Published: (2025)
Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
by: Li, Mengke, et al.
Published: (2025)
by: Li, Mengke, et al.
Published: (2025)
Maximum multinomial likelihood estimation in compound mixture model with application to malaria study
by: Tian, Zhaoyang, et al.
Published: (2025)
by: Tian, Zhaoyang, et al.
Published: (2025)
Maximum-likelihood estimation of the Matérn covariance structure of isotropic spatial random fields on finite, sampled grids
by: Simons, Frederik J., et al.
Published: (2025)
by: Simons, Frederik J., et al.
Published: (2025)
Regression adjustment in covariate-adaptive randomized experiments with missing covariates
by: Fu, Wanjia, et al.
Published: (2025)
by: Fu, Wanjia, et al.
Published: (2025)
Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
Composite empirical likelihood for multisample clustered data
by: Chen, Jiahua, et al.
Published: (2016)
by: Chen, Jiahua, et al.
Published: (2016)
Geostatistical capture-recapture models
by: Hooten, Mevin B, et al.
Published: (2023)
by: Hooten, Mevin B, et al.
Published: (2023)
Covariate adjustment in randomized experiments with missing outcomes and covariates
by: Zhao, Anqi, et al.
Published: (2023)
by: Zhao, Anqi, et al.
Published: (2023)
Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$
by: Gu, Yujia, et al.
Published: (2025)
by: Gu, Yujia, et al.
Published: (2025)
Refining capture-recapture methods to estimate case counts in a finite population setting
by: Doerfler, Michael, et al.
Published: (2025)
by: Doerfler, Michael, et al.
Published: (2025)
Retrospective score tests versus prospective score tests for genetic association with case-control data
by: Liu, Yukun, et al.
Published: (2025)
by: Liu, Yukun, et al.
Published: (2025)
Multiple imputation of missing covariates when using the Fine-Gray model
by: Bonneville, Edouard F., et al.
Published: (2024)
by: Bonneville, Edouard F., et al.
Published: (2024)
Models of linkage error for capture-recapture estimation without clerical reviews
by: Dasylva, Abel, et al.
Published: (2024)
by: Dasylva, Abel, et al.
Published: (2024)
Semiparametric Learning from Open-Set Label Shift Data
by: Liu, Siyan, et al.
Published: (2025)
by: Liu, Siyan, et al.
Published: (2025)
Robust estimation of optimal dynamic treatment regimes with nonignorable missing covariates
by: Sun, Jian, et al.
Published: (2025)
by: Sun, Jian, et al.
Published: (2025)
Estimating temporary emigration from capture-recapture data in the presence of latent identification
by: Skopalova, Katarina, et al.
Published: (2025)
by: Skopalova, Katarina, et al.
Published: (2025)
Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity
by: Lang, Junjun, et al.
Published: (2026)
by: Lang, Junjun, et al.
Published: (2026)
Identification and estimation of the conditional average treatment effect with nonignorable missing covariates, treatment, and outcome
by: Zuo, Shuozhi, et al.
Published: (2026)
by: Zuo, Shuozhi, et al.
Published: (2026)
Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)
by: Liu, Xijia, et al.
Published: (2024)
A unified approach to penalized likelihood estimation of covariance matrices in high dimensions
by: Cibinel, Luca, et al.
Published: (2024)
by: Cibinel, Luca, et al.
Published: (2024)
Treatment effect estimation under covariate-adaptive randomization with heavy-tailed outcomes
by: Li, Hongzi, et al.
Published: (2024)
by: Li, Hongzi, et al.
Published: (2024)
Accounting for missing data when modelling block maxima
by: Simpson, Emma S., et al.
Published: (2025)
by: Simpson, Emma S., et al.
Published: (2025)
Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
by: Kwok, Ngok Sang, et al.
Published: (2024)
by: Kwok, Ngok Sang, et al.
Published: (2024)
Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
by: Zheng, Fangyong, et al.
Published: (2026)
by: Zheng, Fangyong, et al.
Published: (2026)
Boosting prediction with data missing not at random
by: Bian, Yuan, et al.
Published: (2025)
by: Bian, Yuan, et al.
Published: (2025)
Explicit modeling of density dependence in spatial capture-recapture models
by: Zhao, Qing, et al.
Published: (2024)
by: Zhao, Qing, et al.
Published: (2024)
Robust propensity score weighting estimation under missing at random
by: Wang, Hengfang, et al.
Published: (2023)
by: Wang, Hengfang, et al.
Published: (2023)
Hypothesis testing for quantitative trait locus effects in both location and scale in genetic backcross studies
by: Liu, Guanfu, et al.
Published: (2025)
by: Liu, Guanfu, et al.
Published: (2025)
Maximum softly penalised likelihood in factor analysis
by: Sterzinger, Philipp, et al.
Published: (2025)
by: Sterzinger, Philipp, et al.
Published: (2025)
Rejoinder to Reader Reaction "On exact randomization-based covariate-adjusted confidence intervals" by Jacob Fiksel
by: Zhu, Ke, et al.
Published: (2025)
by: Zhu, Ke, et al.
Published: (2025)
Revamping Conformal Selection With Optimal Power: A Neyman--Pearson Perspective
by: Qin, Jing, et al.
Published: (2025)
by: Qin, Jing, et al.
Published: (2025)
Bias reduction in g-computation for covariate adjustment in randomized clinical trials
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Robust and efficient estimation in the presence of a randomly censored covariate
by: Lee, Seong-ho, et al.
Published: (2024)
by: Lee, Seong-ho, et al.
Published: (2024)
Hybrid methods for missing categorical covariates in Cox model
by: Dioni, Abdoulaye, et al.
Published: (2025)
by: Dioni, Abdoulaye, et al.
Published: (2025)
Weighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates
by: Sun, Jian, et al.
Published: (2023)
by: Sun, Jian, et al.
Published: (2023)
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2023)
by: Chen, Xinyuan, et al.
Published: (2023)
Similar Items
-
Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
by: Liu, Yang, et al.
Published: (2025) -
Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data
by: Liu, Yang, et al.
Published: (2025) -
Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models
by: Liu, Yang, et al.
Published: (2022) -
Instability of inverse probability weighting methods and a remedy for non-ignorable missing data
by: Li, Pengfei, et al.
Published: (2025) -
Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
by: Li, Mengke, et al.
Published: (2025)