Saved in:
| Main Authors: | Liu, Kangrui, Wang, Lingxiao, Li, Yan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.00089 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Thresholding Nonprobability Units in Combined Data for Efficient Domain Estimation
by: Savitsky, Terrance D., et al.
Published: (2025)
by: Savitsky, Terrance D., et al.
Published: (2025)
Using Model-Assisted Calibration Methods to Improve Efficiency of Regression Analyses with Two-Phase Samples under Complex Survey Designs
by: Wang, Lingxiao
Published: (2023)
by: Wang, Lingxiao
Published: (2023)
Pseudo-Empirical Likelihood Methods for Causal Inference
by: Huang, Jingyue, et al.
Published: (2024)
by: Huang, Jingyue, et al.
Published: (2024)
Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)
by: Fang, Haimo, et al.
Published: (2025)
Note on the Delta Method for Finite Population Inference with Applications to Causal Inference
by: Pashley, Nicole E.
Published: (2019)
by: Pashley, Nicole E.
Published: (2019)
Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
by: Zhou, Lingxiao, et al.
Published: (2024)
by: Zhou, Lingxiao, et al.
Published: (2024)
Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
by: Dai, Yufang, et al.
Published: (2026)
by: Dai, Yufang, et al.
Published: (2026)
Pseudo Empirical Likelihood Inference for Non-Probability Survey Samples
by: Chen, Yilin, et al.
Published: (2025)
by: Chen, Yilin, et al.
Published: (2025)
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)
by: Yao, Minhao, et al.
Published: (2025)
RieszBoost: Gradient Boosting for Riesz Regression
by: Lee, Kaitlyn J., et al.
Published: (2025)
by: Lee, Kaitlyn J., et al.
Published: (2025)
Leveraging Relational Evidence: Population Size Estimation on Tree-Structured Data with the Weighted Multiplier Method
by: Flynn, Mallory J, et al.
Published: (2025)
by: Flynn, Mallory J, et al.
Published: (2025)
Gradient Boosting for Hierarchical Data in Small Area Estimation
by: Messer, Paul, et al.
Published: (2024)
by: Messer, Paul, et al.
Published: (2024)
Bayesian inference for aggregated Hawkes processes
by: Zhou, Lingxiao, et al.
Published: (2022)
by: Zhou, Lingxiao, et al.
Published: (2022)
Statistical Inference on Gradient Flows
by: Li, Tongyu, et al.
Published: (2026)
by: Li, Tongyu, et al.
Published: (2026)
A Random Forest Inverse Probability Weighted Pseudo-Observation Framework for Alternating Recurrent Events
by: Loe, Abigail, et al.
Published: (2025)
by: Loe, Abigail, et al.
Published: (2025)
Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks
by: Deng, Jiayi, et al.
Published: (2024)
by: Deng, Jiayi, et al.
Published: (2024)
Balancing Weights for Causal Inference in Observational Factorial Studies
by: Yu, Ruoqi, et al.
Published: (2023)
by: Yu, Ruoqi, et al.
Published: (2023)
Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
by: Jobst, David, et al.
Published: (2024)
by: Jobst, David, et al.
Published: (2024)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
by: Guha, Subharup, et al.
Published: (2025)
by: Guha, Subharup, et al.
Published: (2025)
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)
by: Lu, Haidong, et al.
Published: (2026)
Statistical inference for large-dimensional tensor factor model by iterative projections
by: Barigozzi, Matteo, et al.
Published: (2022)
by: Barigozzi, Matteo, et al.
Published: (2022)
Gradient-bridged Posterior: Bayesian Inference for Models with Implicit Functions
by: Zeng, Cheng, et al.
Published: (2025)
by: Zeng, Cheng, et al.
Published: (2025)
Addressing Positivity Violations in Extending Inference to a Target Population
by: Lu, Jun, et al.
Published: (2024)
by: Lu, Jun, et al.
Published: (2024)
Gradient Boosting for Spatial Panel Models with Random and Fixed Effects
by: Balzer, Michael, et al.
Published: (2026)
by: Balzer, Michael, et al.
Published: (2026)
Weight a Minute: Understanding Variability in PATE Estimates Across Target Populations
by: Stewart, William, et al.
Published: (2025)
by: Stewart, William, et al.
Published: (2025)
Post-Hoc Inference of Cross-Classified Statistics from Hierarchical Bayes Survey Weights
by: Tam, Siu-Ming
Published: (2026)
by: Tam, Siu-Ming
Published: (2026)
Scalable Efficient Inference in Complex Surveys through Targeted Resampling of Weights
by: Das, Snigdha, et al.
Published: (2025)
by: Das, Snigdha, et al.
Published: (2025)
Target Aggregate Data Adjustment Method for Transportability Analysis Utilizing Summary-Level Data from the Target Population
by: Yan, Yichen, et al.
Published: (2024)
by: Yan, Yichen, et al.
Published: (2024)
Debiased Distribution Compression
by: Li, Lingxiao, et al.
Published: (2024)
by: Li, Lingxiao, et al.
Published: (2024)
Gradient-Based Approximate Bayesian Inference with Entropy-Optimized Summary Statistics for Compartmental Models
by: Li, Xiahui, et al.
Published: (2024)
by: Li, Xiahui, et al.
Published: (2024)
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning
by: Matsubara, Takuo
Published: (2024)
by: Matsubara, Takuo
Published: (2024)
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
by: Singh, Rahul, et al.
Published: (2023)
by: Singh, Rahul, et al.
Published: (2023)
Weighted least squares estimation by multivariate-dependent weights for linear regression models
by: Huang, Lei, et al.
Published: (2026)
by: Huang, Lei, et al.
Published: (2026)
Statistical Inference with Stochastic Gradient Methods under $ϕ$-mixing Data
by: Liu, Ruiqi, et al.
Published: (2023)
by: Liu, Ruiqi, et al.
Published: (2023)
A Unified Inference Method for FROC-type Curves and Related Summary Indices
by: Sun, Jiarui, et al.
Published: (2025)
by: Sun, Jiarui, et al.
Published: (2025)
Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
by: Xie, Minge, et al.
Published: (2024)
by: Xie, Minge, et al.
Published: (2024)
A New Method for Multinomial Inference using Dempster-Shafer Theory
by: Lawrence, Earl C., et al.
Published: (2024)
by: Lawrence, Earl C., et al.
Published: (2024)
Statistical Inference for Differentially Private Stochastic Gradient Descent
by: Xia, Xintao, et al.
Published: (2025)
by: Xia, Xintao, et al.
Published: (2025)
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)
by: Shen, Andy A., et al.
Published: (2025)
Similar Items
-
Thresholding Nonprobability Units in Combined Data for Efficient Domain Estimation
by: Savitsky, Terrance D., et al.
Published: (2025) -
Using Model-Assisted Calibration Methods to Improve Efficiency of Regression Analyses with Two-Phase Samples under Complex Survey Designs
by: Wang, Lingxiao
Published: (2023) -
Pseudo-Empirical Likelihood Methods for Causal Inference
by: Huang, Jingyue, et al.
Published: (2024) -
Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025) -
Note on the Delta Method for Finite Population Inference with Applications to Causal Inference
by: Pashley, Nicole E.
Published: (2019)