Saved in:
| Main Authors: | Zhou, Ruyu, Liu, Fang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.00192 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Partial frontiers are not quantiles
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Inference for quantile-parametrized families via CDF confidence bands
by: Chattopadhyay, Srijan, et al.
Published: (2025)
by: Chattopadhyay, Srijan, et al.
Published: (2025)
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)
The quantile-based classifier with variable-wise parameters
by: Berrettini, Marco, et al.
Published: (2024)
by: Berrettini, Marco, et al.
Published: (2024)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025)
by: Liu, Hua, et al.
Published: (2025)
Multinomial probit model based on joint quantile regression
by: Okabe, Masaaki, et al.
Published: (2025)
by: Okabe, Masaaki, et al.
Published: (2025)
Global quantile regression
by: Mrkvička, Tomáš, et al.
Published: (2023)
by: Mrkvička, Tomáš, et al.
Published: (2023)
Inference for non-stationary time series quantile regression with inequality constraints
by: Sun, Yuan, et al.
Published: (2024)
by: Sun, Yuan, et al.
Published: (2024)
Consistent information criteria for regularized regression and loss-based learning problems
by: Zhang, Qingyuan, et al.
Published: (2024)
by: Zhang, Qingyuan, et al.
Published: (2024)
Change-plane analysis in functional response quantile regression
by: Guan, Xin, et al.
Published: (2025)
by: Guan, Xin, et al.
Published: (2025)
A data-based notion of quantiles on Hadamard spaces
by: Shin, Ha-Young, et al.
Published: (2025)
by: Shin, Ha-Young, et al.
Published: (2025)
Geometric quantile-based measures of multivariate distributional characteristics
by: Shin, Ha-Young, et al.
Published: (2024)
by: Shin, Ha-Young, et al.
Published: (2024)
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)
Generalized random forest for extreme quantile regression
by: Vidagbandji, Lucien M., et al.
Published: (2025)
by: Vidagbandji, Lucien M., et al.
Published: (2025)
Monge-Kantorovich quantiles and ranks for image data
by: Thurin, Gauthier
Published: (2025)
by: Thurin, Gauthier
Published: (2025)
An efficient hybrid approach of quantile and expectile regression
by: Atanane, Abdellah, et al.
Published: (2025)
by: Atanane, Abdellah, et al.
Published: (2025)
Rerandomization for quantile treatment effects
by: Han, Tingxuan, et al.
Published: (2026)
by: Han, Tingxuan, et al.
Published: (2026)
Calibrated quantile prediction for Growth-at-Risk
by: Bogani, Pietro, et al.
Published: (2024)
by: Bogani, Pietro, et al.
Published: (2024)
Interval-censored linear quantile regression
by: Choi, Taehwa, et al.
Published: (2024)
by: Choi, Taehwa, 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)
The $\infty$-S test via regression quantile affine LASSO
by: Sardy, Sylvain, et al.
Published: (2024)
by: Sardy, Sylvain, et al.
Published: (2024)
Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026)
by: Hu, Boyi, et al.
Published: (2026)
On the breakdown point of transport-based quantiles
by: Avella-Medina, Marco, et al.
Published: (2024)
by: Avella-Medina, Marco, et al.
Published: (2024)
Strong uniform consistency of nonparametric estimation for quantile-based entropy function under length-biased sampling
by: Pavithradas, Vaishnavi, et al.
Published: (2025)
by: Pavithradas, Vaishnavi, et al.
Published: (2025)
Successive classification learning for estimating quantile optimal treatment regimes
by: Xia, Junwen, et al.
Published: (2025)
by: Xia, Junwen, et al.
Published: (2025)
A flexible quantile mixed-effects model for censored outcomes
by: Burger, Divan A., et al.
Published: (2025)
by: Burger, Divan A., et al.
Published: (2025)
General Bayesian quantile regression for counts via generative modeling
by: Yamauchi, Yuta, et al.
Published: (2024)
by: Yamauchi, Yuta, et al.
Published: (2024)
Optimal subsampling for functional composite quantile regression in massive data
by: Pan, Jingxiang, et al.
Published: (2024)
by: Pan, Jingxiang, et al.
Published: (2024)
Bayesian structured additive quantile regression for inflated bounded data
by: Queiroz, Francisco F., et al.
Published: (2026)
by: Queiroz, Francisco F., et al.
Published: (2026)
Smooth and shape-constrained quantile distributed lag models
by: Jin, Yisen, et al.
Published: (2024)
by: Jin, Yisen, et al.
Published: (2024)
On function-on-function linear quantile regression
by: Mutis, Muge, et al.
Published: (2025)
by: Mutis, Muge, et al.
Published: (2025)
Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)
by: Deb, Soudeep, et al.
Published: (2024)
Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024)
by: Wang, Yumeng, et al.
Published: (2024)
Semiparametric model averaging for high-dimensional quantile regression with nonignorable nonresponse
by: Xiong, Wei, et al.
Published: (2025)
by: Xiong, Wei, et al.
Published: (2025)
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
by: Cheng, Chao, et al.
Published: (2022)
by: Cheng, Chao, et al.
Published: (2022)
Enhanced inference for distributions and quantiles of individual treatment effects in various experiments
by: Chen, Zhe, et al.
Published: (2024)
by: Chen, Zhe, et al.
Published: (2024)
Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)
by: Kobayashi, Genya, et al.
Published: (2026)
Similar Items
-
Partial frontiers are not quantiles
by: Dai, Sheng, et al.
Published: (2022) -
Inference for quantile-parametrized families via CDF confidence bands
by: Chattopadhyay, Srijan, et al.
Published: (2025) -
Inference on multiple quantiles in regression models by a rank-score approach
by: De Santis, Riccardo, et al.
Published: (2025) -
The quantile-based classifier with variable-wise parameters
by: Berrettini, Marco, et al.
Published: (2024) -
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)