Score-Preserving Targeted Maximum Likelihood Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Pimentel, Noel, Schuler, Alejandro, van der Laan, Mark |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026)
by: Xu, Yichen, et al.
Published: (2026)
Novel Tau-Informed Initialization for Maximum Likelihood Estimation of Copulas with Discrete Margins
by: van Es, Anna, et al.
Published: (2025)
by: van Es, Anna, et al.
Published: (2025)
Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
by: van der Laan, Mark, et al.
Published: (2025)
by: van der Laan, Mark, et al.
Published: (2025)
HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
by: Hou, Yilong, et al.
Published: (2026)
by: Hou, Yilong, et al.
Published: (2026)
Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)
by: van der Laan, Lars, et al.
Published: (2023)
Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
by: Kim, Taehyun, et al.
Published: (2026)
by: Kim, Taehyun, et al.
Published: (2026)
Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
by: Cai, Yizhou, et al.
Published: (2024)
by: Cai, Yizhou, et al.
Published: (2024)
Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
by: Aletti, Giacomo, et al.
Published: (2023)
by: Aletti, Giacomo, et al.
Published: (2023)
Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
by: Han, Yanjun, et al.
Published: (2025)
by: Han, Yanjun, et al.
Published: (2025)
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
by: Jiang, Hansheng, et al.
Published: (2021)
by: Jiang, Hansheng, et al.
Published: (2021)
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
by: Zhang, Yangjing, et al.
Published: (2022)
by: Zhang, Yangjing, et al.
Published: (2022)
Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models
by: Li, Yi, et al.
Published: (2025)
by: Li, Yi, et al.
Published: (2025)
Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
by: Kim, Taehyun
Published: (2026)
by: Kim, Taehyun
Published: (2026)
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
by: Aragam, Bryon, et al.
Published: (2024)
by: Aragam, Bryon, et al.
Published: (2024)
“Within‐Trial” Prognostic Score Adjustment Is Targeted Maximum Likelihood Estimation
by: Emilie Højbjerre‐Frandsen, et al.
Published: (2026)
by: Emilie Højbjerre‐Frandsen, et al.
Published: (2026)
Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs
by: Landsiedel, Kirsten E., et al.
Published: (2025)
by: Landsiedel, Kirsten E., et al.
Published: (2025)
Misspecified Maximum Likelihood Estimation for Non-Uniform Group Orbit Recovery
by: Xu, Sheng, et al.
Published: (2025)
by: Xu, Sheng, et al.
Published: (2025)
Likelihood-Preserving Embeddings for Statistical Inference
by: Akdemir, Deniz
Published: (2025)
by: Akdemir, Deniz
Published: (2025)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
by: Casa, Alessandro, et al.
Published: (2024)
by: Casa, Alessandro, et al.
Published: (2024)
Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
by: Zhu, Linglingzhi, et al.
Published: (2025)
by: Zhu, Linglingzhi, et al.
Published: (2025)
Subspace Ordering for Maximum Response Preservation in Sufficient Dimension Reduction
by: Boonstra, Derik T., et al.
Published: (2025)
by: Boonstra, Derik T., et al.
Published: (2025)
Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems
by: Qiu, Sky, et al.
Published: (2026)
by: Qiu, Sky, et al.
Published: (2026)
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
by: Alegría, Alfredo
Published: (2024)
by: Alegría, Alfredo
Published: (2024)
Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects using Targeted Learning
by: McCoy, David, et al.
Published: (2023)
by: McCoy, David, et al.
Published: (2023)
Propensity Score Augmentation in Matching-based Estimation of Causal Effects
by: Ulloa-Pérez, Ernesto, et al.
Published: (2024)
by: Ulloa-Pérez, Ernesto, et al.
Published: (2024)
Likelihood distortion and Bayesian local robustness
by: Di Noia, Antonio, et al.
Published: (2024)
by: Di Noia, Antonio, et al.
Published: (2024)
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
by: Fageot, Julien, et al.
Published: (2023)
by: Fageot, Julien, et al.
Published: (2023)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)
by: Branson, Zach, et al.
Published: (2023)
Likelihood confidence intervals for misspecified Cox models
by: Shao, Yongwu, et al.
Published: (2025)
by: Shao, Yongwu, et al.
Published: (2025)
Empirical Likelihood Meets Prediction-Powered Inference
by: Wang, Guanghui, et al.
Published: (2025)
by: Wang, Guanghui, et al.
Published: (2025)
Enhanced Rank-Based Correlation Estimation Using Smoothed Wilcoxon Rank Scores
by: Tasdan, Feridun, et al.
Published: (2025)
by: Tasdan, Feridun, et al.
Published: (2025)
Likelihood ratio tests in random graph models with increasing dimensions
by: Yan, Ting, et al.
Published: (2023)
by: Yan, Ting, et al.
Published: (2023)
Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
by: N, Sreelakshmi, et al.
Published: (2026)
by: N, Sreelakshmi, et al.
Published: (2026)
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)
by: Liu, Hua, et al.
Published: (2020)
Statistical Inference for Random Unknowns via Modifications of Extended Likelihood
by: Lee, Hangbin, et al.
Published: (2023)
by: Lee, Hangbin, et al.
Published: (2023)
Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
by: Wibisono, Kevin Christian, et al.
Published: (2025)
by: Wibisono, Kevin Christian, et al.
Published: (2025)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020)
by: Wang, Yuhao, et al.
Published: (2020)
Similar Items
-
Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026) -
Novel Tau-Informed Initialization for Maximum Likelihood Estimation of Copulas with Discrete Margins
by: van Es, Anna, et al.
Published: (2025) -
Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
by: van der Laan, Mark, et al.
Published: (2025) -
HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
by: Hou, Yilong, et al.
Published: (2026) -
Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)