Interval-censored linear quantile regression
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Taehwa, Park, Seohyeon, Cho, Hunyong, Choi, Sangbum |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rank estimation for the accelerated failure time model with partially interval-censored data
by: Choi, Taehwa, et al.
Published: (2025)
by: Choi, Taehwa, et al.
Published: (2025)
Inverse‐Weighted Quantile Regression With Partially Interval‐Censored Data
by: Yeji Kim, et al.
Published: (2024)
by: Yeji Kim, 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)
Cox Model Predicting Covariate Subject to Right Censoring
by: Lin, Chen-Yen, et al.
Published: (2026)
by: Lin, Chen-Yen, et al.
Published: (2026)
Nonparametric Estimation for a Log-concave Distribution Function with Interval-censored Data
by: Chu, Chi Wing, et al.
Published: (2024)
by: Chu, Chi Wing, et al.
Published: (2024)
Penalized function-on-function linear quantile regression
by: Beyaztas, Ufuk, et al.
Published: (2025)
by: Beyaztas, Ufuk, et al.
Published: (2025)
Tolerance Intervals Using Dirichlet Processes
by: Choi, Seokjun, et al.
Published: (2025)
by: Choi, Seokjun, et al.
Published: (2025)
Global quantile regression
by: Mrkvička, Tomáš, et al.
Published: (2023)
by: Mrkvička, Tomáš, et al.
Published: (2023)
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)
Designing clinical trials for the comparison of single and multiple quantiles with right-censored data
by: Farah, Beatriz, et al.
Published: (2025)
by: Farah, Beatriz, et al.
Published: (2025)
Extreme quantile regression with deep learning
by: Richards, Jordan, et al.
Published: (2024)
by: Richards, Jordan, et al.
Published: (2024)
lqmix: an R package for longitudinal data analysis via linear quantile mixtures
by: Alfó, Marco, et al.
Published: (2023)
by: Alfó, Marco, et al.
Published: (2023)
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)
Nonparametric regression with dependent censoring or competing risks
by: Shih, Jia-Han, et al.
Published: (2026)
by: Shih, Jia-Han, et al.
Published: (2026)
The $\infty$-S test via regression quantile affine LASSO
by: Sardy, Sylvain, et al.
Published: (2024)
by: Sardy, Sylvain, 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)
Multinomial probit model based on joint quantile regression
by: Okabe, Masaaki, et al.
Published: (2025)
by: Okabe, Masaaki, et al.
Published: (2025)
Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026)
by: Hu, Boyi, et al.
Published: (2026)
Single-index Semiparametric Transformation Cure Models with Interval-censored Data
by: Huang, Xiaoru, et al.
Published: (2026)
by: Huang, Xiaoru, et al.
Published: (2026)
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)
Model averaging with mixed criteria for estimating high quantiles of extreme values: Application to heavy rainfall
by: Shin, Yonggwan, et al.
Published: (2025)
by: Shin, Yonggwan, 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)
A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)
by: Yang, Zhenwei, et al.
Published: (2024)
Neural interval-censored survival regression with feature selection
by: Meixide, Carlos García, et al.
Published: (2022)
by: Meixide, Carlos García, et al.
Published: (2022)
confintROB Package: Confindence Intervals in robust linear mixed models
by: Mason, Fabio, et al.
Published: (2024)
by: Mason, Fabio, et al.
Published: (2024)
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)
Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025)
by: Liu, Hua, 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)
Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)
by: Kobayashi, Genya, et al.
Published: (2026)
Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model
by: Yang, Zhenwei, et al.
Published: (2022)
by: Yang, Zhenwei, et al.
Published: (2022)
Beyond fixed thresholds: optimizing summaries of wearable device data via piecewise linearization of quantile functions
by: Park, Junyoung, et al.
Published: (2025)
by: Park, Junyoung, et al.
Published: (2025)
Asymptotic properties of the MLE in distributional regression under random censoring
by: Kremling, Gitte, et al.
Published: (2025)
by: Kremling, Gitte, et al.
Published: (2025)
Renewable estimation in linear expectile regression models with streaming data sets
by: Cao, Wei, et al.
Published: (2026)
by: Cao, Wei, et al.
Published: (2026)
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)
A comparison of Kaplan--Meier-based inverse probability of censoring weighted regression methods
by: Overgaard, Morten
Published: (2024)
by: Overgaard, Morten
Published: (2024)
Similar Items
-
Rank estimation for the accelerated failure time model with partially interval-censored data
by: Choi, Taehwa, et al.
Published: (2025) -
Inverse‐Weighted Quantile Regression With Partially Interval‐Censored Data
by: Yeji Kim, et al.
Published: (2024) -
On function-on-function linear quantile regression
by: Mutis, Muge, et al.
Published: (2025) -
Cox Model Predicting Covariate Subject to Right Censoring
by: Lin, Chen-Yen, et al.
Published: (2026) -
Nonparametric Estimation for a Log-concave Distribution Function with Interval-censored Data
by: Chu, Chi Wing, et al.
Published: (2024)