Saved in:
| Main Authors: | Chattopadhyay, Srijan, Sarkar, Siddhaarth, Kuchibhotla, Arun Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.23086 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Finite sample valid confidence sets of mode
by: Paul, Manit, et al.
Published: (2025)
by: Paul, Manit, et al.
Published: (2025)
Honest Inference for Stochastic Optimization
by: Takatsu, Kenta, et al.
Published: (2025)
by: Takatsu, Kenta, et al.
Published: (2025)
Statistical Inference for Online Algorithms
by: Carter, Selina, et al.
Published: (2025)
by: Carter, Selina, et al.
Published: (2025)
Selection and Aggregation of Conformal Prediction Sets
by: Yang, Yachong, et al.
Published: (2021)
by: Yang, Yachong, et al.
Published: (2021)
On the Symmetry of Limiting Distributions of M-estimators
by: Bhowmick, Arunav, et al.
Published: (2024)
by: Bhowmick, Arunav, et al.
Published: (2024)
Sharp Debiasing for Smooth Functional Estimation in Banach Spaces
by: Chang, Woonyoung, et al.
Published: (2026)
by: Chang, Woonyoung, et al.
Published: (2026)
On a Probability Inequality for Order Statistics with Applications to Bootstrap, Conformal Prediction, and more
by: Paul, Manit, et al.
Published: (2026)
by: Paul, Manit, et al.
Published: (2026)
From Isotonic to Lipschitz Regression: A New Interpolative Perspective on Shape-restricted Estimation
by: Takatsu, Kenta, et al.
Published: (2023)
by: Takatsu, Kenta, et al.
Published: (2023)
Statistical Properties of Rectified Flow
by: Mena, Gonzalo, et al.
Published: (2025)
by: Mena, Gonzalo, et al.
Published: (2025)
Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
by: Yang, Yachong, et al.
Published: (2023)
by: Yang, Yachong, et al.
Published: (2023)
Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes
by: Farina, Rebecca, et al.
Published: (2025)
by: Farina, Rebecca, et al.
Published: (2025)
Predictive Subsampling for Scalable Inference in Networks
by: Kumar, Arpan, et al.
Published: (2026)
by: Kumar, Arpan, et al.
Published: (2026)
Analysis of Pleiotropy for Testosterone and Lipid Profiles in Males and Females
by: Chattopadhyay, Srijan, et al.
Published: (2023)
by: Chattopadhyay, Srijan, et al.
Published: (2023)
Multiply Robust Conformal Risk Control with Coarsened Data
by: Paul, Manit, et al.
Published: (2025)
by: Paul, Manit, et al.
Published: (2025)
Application of Random Matrix Theory in High-Dimensional Statistics
by: Bhattacharyya, Swapnaneel, et al.
Published: (2024)
by: Bhattacharyya, Swapnaneel, et al.
Published: (2024)
rquest: An R package for hypothesis tests and confidence intervals for quantiles and summary measures based on quantiles
by: Prendergast, Luke A., et al.
Published: (2024)
by: Prendergast, Luke A., et al.
Published: (2024)
Tighter confidence intervals for quantiles of heterogeneous data
by: Einmahl, John H. J., et al.
Published: (2026)
by: Einmahl, John H. J., et al.
Published: (2026)
Non-parametric estimation of conditional quantiles for time series with heavy tails
by: Mathew, Deemat C, et al.
Published: (2024)
by: Mathew, Deemat C, et al.
Published: (2024)
Assumption Lean Regression
by: Berk, Richard A., et al.
Published: (2018)
by: Berk, Richard A., et al.
Published: (2018)
Inference on multiple quantiles in regression models by a rank-score approach
by: De Santis, Riccardo, et al.
Published: (2025)
by: De Santis, Riccardo, et al.
Published: (2025)
A semi-parametric estimation method for quantile coherence with an application to bivariate financial time series clustering
by: Jiménez-Varón, Cristian F., et al.
Published: (2023)
by: Jiménez-Varón, Cristian F., et al.
Published: (2023)
Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks
by: Rühl, Jasmin, et al.
Published: (2023)
by: Rühl, Jasmin, et al.
Published: (2023)
Global quantile regression
by: Mrkvička, Tomáš, et al.
Published: (2023)
by: Mrkvička, Tomáš, et al.
Published: (2023)
PRECISE: PRivacy-loss-Efficient and Consistent Inference based on poSterior quantilEs
by: Zhou, Ruyu, et al.
Published: (2025)
by: Zhou, Ruyu, et al.
Published: (2025)
The $\infty$-S test via regression quantile affine LASSO
by: Sardy, Sylvain, et al.
Published: (2024)
by: Sardy, Sylvain, et al.
Published: (2024)
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
by: Ganguly, Indrila, et al.
Published: (2023)
by: Ganguly, Indrila, et al.
Published: (2023)
Partial frontiers are not quantiles
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
General Bayesian quantile regression for counts via generative modeling
by: Yamauchi, Yuta, et al.
Published: (2024)
by: Yamauchi, Yuta, et al.
Published: (2024)
Network Cross-Validation and Model Selection via Subsampling
by: Chakrabarty, Sayan, et al.
Published: (2025)
by: Chakrabarty, Sayan, et al.
Published: (2025)
Asymptotic confidence bands for the histogram regression estimator
by: Neumeyer, Natalie, et al.
Published: (2025)
by: Neumeyer, Natalie, et al.
Published: (2025)
Causal attribution with confidence
by: Zhang, Ping, et al.
Published: (2025)
by: Zhang, Ping, et al.
Published: (2025)
Uniform confidence bands for joint angles across different fatigue phases
by: Bastian, Patrick, et al.
Published: (2025)
by: Bastian, Patrick, et al.
Published: (2025)
Spatial quantile clustering of climate data
by: Gaetan, Carlo, et al.
Published: (2024)
by: Gaetan, Carlo, et al.
Published: (2024)
Likelihood-ratio inference on differences in quantiles
by: Miller, Evan
Published: (2023)
by: Miller, Evan
Published: (2023)
Extreme quantile regression with deep learning
by: Richards, Jordan, et al.
Published: (2024)
by: Richards, Jordan, et al.
Published: (2024)
Inference for bivariate extremes via a semi-parametric angular-radial model
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)
by: Murphy-Barltrop, Callum John Rowlandson, 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)
White noise testing for functional time series via functional quantile autocorrelation
by: López-Oriona, Ángel, et al.
Published: (2026)
by: López-Oriona, Ángel, et al.
Published: (2026)
Sequential model confidence sets
by: Arnold, Sebastian, et al.
Published: (2024)
by: Arnold, Sebastian, et al.
Published: (2024)
Generalized random forest for extreme quantile regression
by: Vidagbandji, Lucien M., et al.
Published: (2025)
by: Vidagbandji, Lucien M., et al.
Published: (2025)
Similar Items
-
Finite sample valid confidence sets of mode
by: Paul, Manit, et al.
Published: (2025) -
Honest Inference for Stochastic Optimization
by: Takatsu, Kenta, et al.
Published: (2025) -
Statistical Inference for Online Algorithms
by: Carter, Selina, et al.
Published: (2025) -
Selection and Aggregation of Conformal Prediction Sets
by: Yang, Yachong, et al.
Published: (2021) -
On the Symmetry of Limiting Distributions of M-estimators
by: Bhowmick, Arunav, et al.
Published: (2024)