Cover Image

Pseudo-Empirical Likelihood Methods for Causal Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Jingyue, Wu, Changbao, Zeng, Leilei
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample Empirical Likelihood Methods for Causal Inference
by: Huang, Jingyue, et al.
Published: (2024)

Pseudo Empirical Likelihood Inference for Non-Probability Survey Samples
by: Chen, Yilin, et al.
Published: (2025)

Nonparametric Bounds in Causal Mediation Analysis in the Presence of Unmeasured Confounding and Imperfect Compliance
by: Liang, Wei, et al.
Published: (2025)

Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks
by: Deng, Jiayi, et al.
Published: (2024)

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
by: Lee, Byunghee, et al.
Published: (2025)

Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)

Empirical Likelihood Inference over Decentralized Networks
by: Du, Jinye, et al.
Published: (2024)

Distributed Empirical Likelihood Inference With or Without Byzantine Failures
by: Wang, Qihua, et al.
Published: (2024)

Regularized Exponentially Tilted Empirical Likelihood for Bayesian Inference
by: Kim, Eunseop, et al.
Published: (2023)

Estimation of Treatment Harm Rate via Partitioning
by: Liang, Wei, et al.
Published: (2025)

Empirical Likelihood Meets Prediction-Powered Inference
by: Wang, Guanghui, et al.
Published: (2025)

Statistical Inference with Nonignorable Non-Probability Survey Samples
by: Liu, Yang, et al.
Published: (2024)

Pseudo-Likelihood Ratio Screening based on Network Data with Applications
by: Hu, Wei, et al.
Published: (2025)

Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood
by: Xia, Xintao, et al.
Published: (2025)

Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
by: N, Sreelakshmi, et al.
Published: (2026)

Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
by: Kim, Taehyun, et al.
Published: (2026)

Empirical Likelihood for Nonsmooth Functionals
by: Namkoong, Hongseok
Published: (2026)

Empirical Likelihood with Generative AI
by: Li, Jiguang, et al.
Published: (2026)

Jackknife Empirical Likelihood-based inference for S-Gini indices
by: N, Sreelakshmi, et al.
Published: (2017)

Note on the Delta Method for Finite Population Inference with Applications to Causal Inference
by: Pashley, Nicole E.
Published: (2019)

Gradient-Boosted Pseudo-Weighting: Methods for Population Inference from Nonprobability samples
by: Liu, Kangrui, et al.
Published: (2025)

EM Estimation of the B-Spline Copula with Penalized Pseudo-Likelihood Functions
by: Dou, Xiaoling, et al.
Published: (2024)

Jackknife Empirical Likelihood Method for U Statistics Based on Multivariate Samples and its Applications
by: Garg, Naresh, et al.
Published: (2024)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)

Causal Inference in the Multiverse of Hazard
by: Lai, En-Yu, et al.
Published: (2024)

On an Empirical Likelihood based Solution to the Approximate Bayesian Computation Problem
by: Chaudhuri, Sanjay, et al.
Published: (2024)

Generalized Bayesian Likelihood-Free Inference
by: Pacchiardi, Lorenzo, et al.
Published: (2021)

Dual Likelihood for Causal Inference under Structure Uncertainty
by: Strieder, David, et al.
Published: (2024)

SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function
by: Wu, Dingbo, et al.
Published: (2025)

Benchmark of Likelihood-Free Inference Methods based on Neural and Optimal Transport Approaches
by: Aka, Samira, et al.
Published: (2026)

Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)

The Marginal Likelihood of two-way tables and Ecological Inference
by: Forcina, Antonio
Published: (2025)

Likelihood-Free Inference via Structured Score Matching
by: Jiang, Haoyu, et al.
Published: (2026)

Sparse Latent Class Analysis: Post-Estimation Refinement via Item-level Pseudo-Likelihood
by: Xu, Yuxuan, et al.
Published: (2026)

Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
by: Zhang, Tianni, et al.
Published: (2026)

Pseudo Empirical Best Prediction of Multiple Characteristics in Small Areas
by: Acero, William, et al.
Published: (2026)

Conformalized Method for Empirical Bayes Normal Mean Inference Problem with Heteroscedastic Variance
by: Seo, Kwangok, et al.
Published: (2026)

Methods of Selective Inference for Linear Mixed Models: a Review and Empirical Comparison
by: D'Alessandro, Matteo, et al.
Published: (2025)

Causal Inference in Panel Data with a Continuous Treatment
by: Xiao, Zhiguo, et al.
Published: (2025)

Causal Estimation and Inference in Nonlinear Mendelian Randomization Studies
by: Wang, Xinpei, et al.
Published: (2024)