Image de couverture de livre

Inference for quantile-parametrized families via CDF confidence bands

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chattopadhyay, Srijan, Sarkar, Siddhaarth, Kuchibhotla, Arun Kumar
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Finite sample valid confidence sets of mode
par: Paul, Manit, et autres
Publié: (2025)

Honest Inference for Stochastic Optimization
par: Takatsu, Kenta, et autres
Publié: (2025)

Statistical Inference for Online Algorithms
par: Carter, Selina, et autres
Publié: (2025)

Selection and Aggregation of Conformal Prediction Sets
par: Yang, Yachong, et autres
Publié: (2021)

On the Symmetry of Limiting Distributions of M-estimators
par: Bhowmick, Arunav, et autres
Publié: (2024)

Sharp Debiasing for Smooth Functional Estimation in Banach Spaces
par: Chang, Woonyoung, et autres
Publié: (2026)

On a Probability Inequality for Order Statistics with Applications to Bootstrap, Conformal Prediction, and more
par: Paul, Manit, et autres
Publié: (2026)

From Isotonic to Lipschitz Regression: A New Interpolative Perspective on Shape-restricted Estimation
par: Takatsu, Kenta, et autres
Publié: (2023)

Statistical Properties of Rectified Flow
par: Mena, Gonzalo, et autres
Publié: (2025)

Predictive Subsampling for Scalable Inference in Networks
par: Kumar, Arpan, et autres
Publié: (2026)

Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
par: Yang, Yachong, et autres
Publié: (2023)

Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes
par: Farina, Rebecca, et autres
Publié: (2025)

Analysis of Pleiotropy for Testosterone and Lipid Profiles in Males and Females
par: Chattopadhyay, Srijan, et autres
Publié: (2023)

rquest: An R package for hypothesis tests and confidence intervals for quantiles and summary measures based on quantiles
par: Prendergast, Luke A., et autres
Publié: (2024)

Application of Random Matrix Theory in High-Dimensional Statistics
par: Bhattacharyya, Swapnaneel, et autres
Publié: (2024)

Multiply Robust Conformal Risk Control with Coarsened Data
par: Paul, Manit, et autres
Publié: (2025)

Tighter confidence intervals for quantiles of heterogeneous data
par: Einmahl, John H. J., et autres
Publié: (2026)

Non-parametric estimation of conditional quantiles for time series with heavy tails
par: Mathew, Deemat C, et autres
Publié: (2024)

Inference on multiple quantiles in regression models by a rank-score approach
par: De Santis, Riccardo, et autres
Publié: (2025)

A semi-parametric estimation method for quantile coherence with an application to bivariate financial time series clustering
par: Jiménez-Varón, Cristian F., et autres
Publié: (2023)

Assumption Lean Regression
par: Berk, Richard A., et autres
Publié: (2018)

Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks
par: Rühl, Jasmin, et autres
Publié: (2023)

PRECISE: PRivacy-loss-Efficient and Consistent Inference based on poSterior quantilEs
par: Zhou, Ruyu, et autres
Publié: (2025)

The $\infty$-S test via regression quantile affine LASSO
par: Sardy, Sylvain, et autres
Publié: (2024)

Global quantile regression
par: Mrkvička, Tomáš, et autres
Publié: (2023)

General Bayesian quantile regression for counts via generative modeling
par: Yamauchi, Yuta, et autres
Publié: (2024)

Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
par: Ganguly, Indrila, et autres
Publié: (2023)

Partial frontiers are not quantiles
par: Dai, Sheng, et autres
Publié: (2022)

Causal attribution with confidence
par: Zhang, Ping, et autres
Publié: (2025)

Inference for bivariate extremes via a semi-parametric angular-radial model
par: Murphy-Barltrop, Callum John Rowlandson, et autres
Publié: (2024)

Spatial quantile clustering of climate data
par: Gaetan, Carlo, et autres
Publié: (2024)

Likelihood-ratio inference on differences in quantiles
par: Miller, Evan
Publié: (2023)

Extreme quantile regression with deep learning
par: Richards, Jordan, et autres
Publié: (2024)

Network Cross-Validation and Model Selection via Subsampling
par: Chakrabarty, Sayan, et autres
Publié: (2025)

White noise testing for functional time series via functional quantile autocorrelation
par: López-Oriona, Ángel, et autres
Publié: (2026)

Sequential model confidence sets
par: Arnold, Sebastian, et autres
Publié: (2024)

Generalized random forest for extreme quantile regression
par: Vidagbandji, Lucien M., et autres
Publié: (2025)

Monge-Kantorovich quantiles and ranks for image data
par: Thurin, Gauthier
Publié: (2025)

An efficient hybrid approach of quantile and expectile regression
par: Atanane, Abdellah, et autres
Publié: (2025)

Uniform confidence bands for joint angles across different fatigue phases
par: Bastian, Patrick, et autres
Publié: (2025)