Large Language Models for Statistical Inference: Context Augmentation with Applications to the Two-Sample Problem and Regression
Fuente:
arXiv
Saved in:
| Main Author: | Ratkovic, Marc |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Statistical Inference for Four-Regime Segmented Regression Models
by: Yan, Han, et al.
Published: (2024)
by: Yan, Han, et al.
Published: (2024)
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
Post-Hoc Large-Sample Statistical Inference
by: Chugg, Ben, et al.
Published: (2026)
by: Chugg, Ben, et al.
Published: (2026)
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
De-Biased Two-Sample U-Statistics With Application To Conditional Distribution Testing
by: Chen, Yuchen, et al.
Published: (2024)
by: Chen, Yuchen, et al.
Published: (2024)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)
by: Fang, Haimo, et al.
Published: (2025)
Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
by: Dale, Reid, et al.
Published: (2026)
by: Dale, Reid, et al.
Published: (2026)
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)
Covariate Adjustment for Wilcoxon Two Sample Statistic and Test
by: Lou, Zhilan, et al.
Published: (2026)
by: Lou, Zhilan, et al.
Published: (2026)
A Heteroscedastic Bayesian Generalized Logistic Regression Model with Application to Scaling Problems
by: Sutton, Jack, et al.
Published: (2023)
by: Sutton, Jack, et al.
Published: (2023)
Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and Pólya-Gamma Augmentation
by: Tamano, Shu, et al.
Published: (2025)
by: Tamano, Shu, et al.
Published: (2025)
Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness
by: Ouyang, Jing, et al.
Published: (2024)
by: Ouyang, Jing, et al.
Published: (2024)
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024)
by: Chatterjee, Anirban, et al.
Published: (2024)
Statistical Inference with Nonignorable Non-Probability Survey Samples
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Large Sample Inference with Dynamic Information Borrowing
by: Tarima, Sergey, et al.
Published: (2025)
by: Tarima, Sergey, et al.
Published: (2025)
Inference for Fréchet Regression
by: Song, Wookyeong, et al.
Published: (2026)
by: Song, Wookyeong, et al.
Published: (2026)
Prediction-Augmented Trees for Reliable Statistical Inference
by: Kher, Vikram, et al.
Published: (2025)
by: Kher, Vikram, et al.
Published: (2025)
Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)
by: Voirol, Lionel, et al.
Published: (2024)
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)
Ridge Estimation of High Dimensional Two-Way Fixed Effect Regression
by: He, Junnan, et al.
Published: (2026)
by: He, Junnan, et al.
Published: (2026)
Robust Inference for Non-Linear Regression Models with Applications in Enzyme Kinetics
by: Jana, Suryasis, et al.
Published: (2024)
by: Jana, Suryasis, et al.
Published: (2024)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
New Insight of Spatial Scan Statistics via Regression Model
by: Kawashima, Takayuki, et al.
Published: (2025)
by: Kawashima, Takayuki, et al.
Published: (2025)
Robust Inference for Multiple Predictive Regressions with an Application on Bond Risk Premia
by: Liao, Xiaosai, et al.
Published: (2024)
by: Liao, Xiaosai, et al.
Published: (2024)
Factor Augmented Matrix Regression
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)
by: Ota, Hirofumi, et al.
Published: (2026)
Inference with Randomized Regression Trees
by: Bakshi, Soham, et al.
Published: (2024)
by: Bakshi, Soham, et al.
Published: (2024)
Post-selection Inference in Regression Models for Group Testing Data
by: Shen, Qinyan, et al.
Published: (2025)
by: Shen, Qinyan, et al.
Published: (2025)
Temporal Configuration Model: Statistical Inference and Spreading Processes
by: Le, Thien-Minh, et al.
Published: (2024)
by: Le, Thien-Minh, et al.
Published: (2024)
A Gaussian Sliding Windows Regression Model for Hydrological Inference
by: Schrunner, Stefan, et al.
Published: (2023)
by: Schrunner, Stefan, et al.
Published: (2023)
The Building Blocks of Classical Nonparametric Two-Sample Testing Procedures: Statistically Equivalent Blocks
by: Holcombe, Chase
Published: (2025)
by: Holcombe, Chase
Published: (2025)
Evaluating Black-Box Classifiers via Stable Adaptive Two-Sample Inference
by: Chen, Yuchen, et al.
Published: (2026)
by: Chen, Yuchen, et al.
Published: (2026)
Statistics in Survey Sampling
by: Kim, Jae Kwang
Published: (2024)
by: Kim, Jae Kwang
Published: (2024)
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)
Statistical Inference under Adaptive Sampling with LinUCB
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
by: Shen, Shuting, et al.
Published: (2023)
by: Shen, Shuting, et al.
Published: (2023)
Scalable Variational Inference for Multinomial Probit Models under Large Choice Sets and Sample Sizes
by: Kim, Gyeongjun, et al.
Published: (2025)
by: Kim, Gyeongjun, 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)
Regression-Based Proximal Causal Inference
by: Liu, Jiewen, et al.
Published: (2024)
by: Liu, Jiewen, et al.
Published: (2024)
Similar Items
-
Statistical Inference for Four-Regime Segmented Regression Models
by: Yan, Han, et al.
Published: (2024) -
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024) -
Post-Hoc Large-Sample Statistical Inference
by: Chugg, Ben, et al.
Published: (2026) -
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
by: Rakshit, Prabrisha, et al.
Published: (2024) -
De-Biased Two-Sample U-Statistics With Application To Conditional Distribution Testing
by: Chen, Yuchen, et al.
Published: (2024)