Saved in:
| Main Authors: | Liu, Hua, Tan, Songhua, Zhu, Qianqian |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2010.06103 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Empirical Likelihood Meets Prediction-Powered Inference
by: Wang, Guanghui, et al.
Published: (2025)
by: Wang, Guanghui, et al.
Published: (2025)
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)
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)
Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
by: N, Sreelakshmi, et al.
Published: (2026)
by: N, Sreelakshmi, et al.
Published: (2026)
Statistical Inference for Random Unknowns via Modifications of Extended Likelihood
by: Lee, Hangbin, et al.
Published: (2023)
by: Lee, Hangbin, 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)
Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
by: Li, Ting, et al.
Published: (2026)
by: Li, Ting, et al.
Published: (2026)
Likelihood-Preserving Embeddings for Statistical Inference
by: Akdemir, Deniz
Published: (2025)
by: Akdemir, Deniz
Published: (2025)
Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
by: Zhu, Linglingzhi, et al.
Published: (2025)
by: Zhu, Linglingzhi, et al.
Published: (2025)
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)
Generalised Bayes Linear Inference
by: Astfalck, Lachlan, et al.
Published: (2024)
by: Astfalck, Lachlan, 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)
Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Mixture Matrix-valued Autoregressive Model
by: Wu, Fei, et al.
Published: (2023)
by: Wu, Fei, et al.
Published: (2023)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)
by: Cao, Cheng, et al.
Published: (2023)
Double-Estimation-Friendly Inference for High-Dimensional Measurement Error Models with Non-Sparse Adaptability
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Inference on Dynamic Spatial Autoregressive Models with Change Point Detection
by: Cen, Zetai, et al.
Published: (2024)
by: Cen, Zetai, et al.
Published: (2024)
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)
by: Lindon, Michael, et al.
Published: (2022)
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)
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)
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)
Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation
by: Hoef, Jay M. Ver, et al.
Published: (2023)
by: Hoef, Jay M. Ver, et al.
Published: (2023)
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024)
by: Zhang, Yilin, et al.
Published: (2024)
G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
by: Lee, Inbeom, et al.
Published: (2025)
by: Lee, Inbeom, et al.
Published: (2025)
Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)
by: Zheng, Dian, 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)
Multivariate Inference of Network Moments by Subsampling
by: Qi, Mingyu, et al.
Published: (2024)
by: Qi, Mingyu, et al.
Published: (2024)
Autoregressive networks with dependent edges
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)
by: Wang, Peng, et al.
Published: (2022)
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)
Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)
by: Li, Lin, et al.
Published: (2026)
Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
by: Li, Lin
Published: (2026)
by: Li, Lin
Published: (2026)
Likelihood Matching for Diffusion Models
by: Qian, Lei, et al.
Published: (2025)
by: Qian, Lei, et al.
Published: (2025)
Bayesian Nonparametric Quasi Likelihood
by: Linero, Antonio R.
Published: (2024)
by: Linero, Antonio R.
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)
Estimation of High-dimensional Nonlinear Vector Autoregressive Models
by: Han, Yuefeng, et al.
Published: (2025)
by: Han, Yuefeng, et al.
Published: (2025)
Similar Items
-
Empirical Likelihood Meets Prediction-Powered Inference
by: Wang, Guanghui, et al.
Published: (2025) -
Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
by: Zhang, Tianni, et al.
Published: (2026) -
Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
by: Cai, Yizhou, et al.
Published: (2024) -
Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
by: N, Sreelakshmi, et al.
Published: (2026) -
Statistical Inference for Random Unknowns via Modifications of Extended Likelihood
by: Lee, Hangbin, et al.
Published: (2023)