Empirical Likelihood Meets Prediction-Powered Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Guanghui, Wen, Mengtao, Zou, Changliang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Power Enhancement of Permutation-Augmented Partial-Correlation Tests via Fixed-Row Permutations
by: Wang, Tianyi, et al.
Published: (2025)
by: Wang, Tianyi, et al.
Published: (2025)
TUNE: Algorithm-Agnostic Inference after Changepoint Detection
by: Jia, Yinxu, et al.
Published: (2024)
by: Jia, Yinxu, et al.
Published: (2024)
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
by: Qian, Chengde, et al.
Published: (2023)
by: Qian, Chengde, et al.
Published: (2023)
Changepoint Detection in Complex Models: Cross-Fitting Is Needed
by: Qian, Chengde, et al.
Published: (2024)
by: Qian, Chengde, et al.
Published: (2024)
Model-Agnostic and Uncertainty-Aware Dimensionality Reduction in Supervised Learning
by: Yu, Yue, et al.
Published: (2026)
by: Yu, Yue, et al.
Published: (2026)
ART: Distribution-Free and Model-Agnostic Changepoint Detection with Finite-Sample Guarantees
by: Cui, Xiaolong, et al.
Published: (2025)
by: Cui, Xiaolong, et al.
Published: (2025)
Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
by: N, Sreelakshmi, et al.
Published: (2026)
by: N, Sreelakshmi, et al.
Published: (2026)
Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
by: Kim, Taehyun, et al.
Published: (2026)
by: Kim, Taehyun, et al.
Published: (2026)
Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)
by: He, Yuheng, et al.
Published: (2024)
Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
by: Kim, Taehyun
Published: (2026)
by: Kim, Taehyun
Published: (2026)
Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
by: Zhang, Tianni, et al.
Published: (2026)
by: Zhang, Tianni, et al.
Published: (2026)
Small Sample Behavior of Wasserstein Projections, Connections to Empirical Likelihood, and Other Applications
by: Lin, Sirui, et al.
Published: (2024)
by: Lin, Sirui, et al.
Published: (2024)
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)
Jackknife Empirical Likelihood Method for U Statistics Based on Multivariate Samples and its Applications
by: Garg, Naresh, et al.
Published: (2024)
by: Garg, Naresh, et al.
Published: (2024)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
Likelihood-Preserving Embeddings for Statistical Inference
by: Akdemir, Deniz
Published: (2025)
by: Akdemir, Deniz
Published: (2025)
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)
A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods
by: Roy, Somjit, et al.
Published: (2025)
by: Roy, Somjit, et al.
Published: (2025)
Horseshoe Predictive Inference
by: Zhai, Percy S., et al.
Published: (2026)
by: Zhai, Percy S., et al.
Published: (2026)
Simultaneous Detection and Localization of Mean and Covariance Changes in High Dimensions
by: Cui, Junfeng, et al.
Published: (2025)
by: Cui, Junfeng, et al.
Published: (2025)
Likelihood distortion and Bayesian local robustness
by: Di Noia, Antonio, et al.
Published: (2024)
by: Di Noia, Antonio, 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)
by: Wu, Dingbo, et al.
Published: (2025)
Bayesian Predictive Inference Beyond Martingales
by: Battiston, Marco, et al.
Published: (2025)
by: Battiston, Marco, et al.
Published: (2025)
Score-Preserving Targeted Maximum Likelihood Estimation
by: Pimentel, Noel, et al.
Published: (2025)
by: Pimentel, Noel, et al.
Published: (2025)
Likelihood confidence intervals for misspecified Cox models
by: Shao, Yongwu, et al.
Published: (2025)
by: Shao, Yongwu, 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)
High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
by: Casa, Alessandro, et al.
Published: (2024)
by: Casa, Alessandro, et al.
Published: (2024)
Likelihood ratio tests in random graph models with increasing dimensions
by: Yan, Ting, et al.
Published: (2023)
by: Yan, Ting, et al.
Published: (2023)
Multivariate Inference of Network Moments by Subsampling
by: Qi, Mingyu, et al.
Published: (2024)
by: Qi, Mingyu, et al.
Published: (2024)
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Empirical Bayes When Estimation Precision Predicts Parameters
by: Chen, Jiafeng
Published: (2022)
by: Chen, Jiafeng
Published: (2022)
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)
On Equivalence of Likelihood-Based Confidence Bands for Fatigue-Life and Fatigue-Strength Distributions
by: Liu, Peng, et al.
Published: (2024)
by: Liu, Peng, et al.
Published: (2024)
Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
by: Alegría, Alfredo
Published: (2024)
by: Alegría, Alfredo
Published: (2024)
Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets
by: Li, Wangcheng, et al.
Published: (2026)
by: Li, Wangcheng, et al.
Published: (2026)
Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)
by: Su, Wen, et al.
Published: (2024)
Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)
by: Frazier, David T., et al.
Published: (2026)
Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
by: Bu, Qiushi, et al.
Published: (2025)
by: Bu, Qiushi, et al.
Published: (2025)
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)
Similar Items
-
Power Enhancement of Permutation-Augmented Partial-Correlation Tests via Fixed-Row Permutations
by: Wang, Tianyi, et al.
Published: (2025) -
TUNE: Algorithm-Agnostic Inference after Changepoint Detection
by: Jia, Yinxu, et al.
Published: (2024) -
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
by: Qian, Chengde, et al.
Published: (2023) -
Changepoint Detection in Complex Models: Cross-Fitting Is Needed
by: Qian, Chengde, et al.
Published: (2024) -
Model-Agnostic and Uncertainty-Aware Dimensionality Reduction in Supervised Learning
by: Yu, Yue, et al.
Published: (2026)