Change-plane analysis in functional response quantile regression
Fuente:
arXiv
Saved in:
| Main Authors: | Guan, Xin, Li, Yiyuan, Liu, Xu, You, Jinhong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Subgroup learning in functional regression models under the RKHS framework
by: Guan, Xin, et al.
Published: (2025)
by: Guan, Xin, et al.
Published: (2025)
Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025)
by: Liu, Hua, et al.
Published: (2025)
On function-on-function linear quantile regression
by: Mutis, Muge, et al.
Published: (2025)
by: Mutis, Muge, et al.
Published: (2025)
Global quantile regression
by: Mrkvička, Tomáš, et al.
Published: (2023)
by: Mrkvička, Tomáš, et al.
Published: (2023)
Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026)
by: Hu, Boyi, et al.
Published: (2026)
Penalized function-on-function linear quantile regression
by: Beyaztas, Ufuk, et al.
Published: (2025)
by: Beyaztas, Ufuk, et al.
Published: (2025)
Optimal subsampling for functional composite quantile regression in massive data
by: Pan, Jingxiang, et al.
Published: (2024)
by: Pan, Jingxiang, et al.
Published: (2024)
Extreme quantile regression with deep learning
by: Richards, Jordan, et al.
Published: (2024)
by: Richards, Jordan, et al.
Published: (2024)
Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)
by: Ren, Benny, et al.
Published: (2024)
Interval-censored linear quantile regression
by: Choi, Taehwa, et al.
Published: (2024)
by: Choi, Taehwa, et al.
Published: (2024)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Generalized random forest for extreme quantile regression
by: Vidagbandji, Lucien M., et al.
Published: (2025)
by: Vidagbandji, Lucien M., et al.
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)
Multinomial probit model based on joint quantile regression
by: Okabe, Masaaki, et al.
Published: (2025)
by: Okabe, Masaaki, 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)
Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
by: Chen, Xiwei, et al.
Published: (2024)
by: Chen, Xiwei, et al.
Published: (2024)
SID: A Novel Class of Nonparametric Tests of Independence for Censored Outcomes
by: Li, Jinhong, et al.
Published: (2024)
by: Li, Jinhong, et al.
Published: (2024)
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)
General Bayesian quantile regression for counts via generative modeling
by: Yamauchi, Yuta, et al.
Published: (2024)
by: Yamauchi, Yuta, 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)
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)
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)
Functional regression with multivariate responses
by: Luo, Ruiyan, et al.
Published: (2026)
by: Luo, Ruiyan, et al.
Published: (2026)
Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)
by: Kobayashi, Genya, et al.
Published: (2026)
Robust subgroup-classifier learning and testing in change-plane regressions
by: Liu, Xu, et al.
Published: (2024)
by: Liu, Xu, et al.
Published: (2024)
Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity
by: Ghosal, Rahul, et al.
Published: (2023)
by: Ghosal, Rahul, et al.
Published: (2023)
A lack-of-fit test for quantile regression models with high-dimensional covariates
by: Conde-Amboage, Mercedes, et al.
Published: (2015)
by: Conde-Amboage, Mercedes, et al.
Published: (2015)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
Invariant quantile regression for heterogeneous environments
by: Fu, Bo, et al.
Published: (2026)
by: Fu, Bo, et al.
Published: (2026)
Bayesian change-plane regression
by: Ohnishi, Yuki, et al.
Published: (2026)
by: Ohnishi, Yuki, et al.
Published: (2026)
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)
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)
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
by: Burger, Divan A., et al.
Published: (2025)
by: Burger, Divan A., et al.
Published: (2025)
A simulation study comparing statistical approaches for estimating extreme quantile regression with an application to forecasting of fire risk
by: Bernoussi, Amina El, et al.
Published: (2025)
by: Bernoussi, Amina El, et al.
Published: (2025)
Conditional probability tensor decompositions for multivariate categorical response regression
by: Molstad, Aaron J., et al.
Published: (2022)
by: Molstad, Aaron J., et al.
Published: (2022)
Climate change analysis from LRD manifold functional regression
by: Ovalle-Muñoz, Diana P., et al.
Published: (2024)
by: Ovalle-Muñoz, Diana P., et al.
Published: (2024)
Two Sample Testing for High-dimensional Functional Data: A Multi-resolution Projection Method
by: Wang, Shouxia, et al.
Published: (2025)
by: Wang, Shouxia, et al.
Published: (2025)
Partial frontiers are not quantiles
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Extremile scalar-on-function regression
by: Battagliola, Maria Laura, et al.
Published: (2024)
by: Battagliola, Maria Laura, et al.
Published: (2024)
Similar Items
-
Subgroup learning in functional regression models under the RKHS framework
by: Guan, Xin, et al.
Published: (2025) -
Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025) -
On function-on-function linear quantile regression
by: Mutis, Muge, et al.
Published: (2025) -
Global quantile regression
by: Mrkvička, Tomáš, et al.
Published: (2023) -
Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026)