:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	De Santis, Riccardo, Vesely, Anna, Andreella, Angela
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2511.07999
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multivariate mixed models with model-free random effects
by: Andreella, Angela, et al.
Published: (2026)

Procrustes analysis for high-dimensional data
by: Andreella, Angela, et al.
Published: (2020)

Robust Inference for Generalized Linear Mixed Models: An Approach Based on Score Sign Flipping
by: Andreella, Angela, et al.
Published: (2024)

An efficient hybrid approach of quantile and expectile regression
by: Atanane, Abdellah, et al.
Published: (2025)

Global quantile regression
by: Mrkvička, Tomáš, et al.
Published: (2023)

Multinomial probit model based on joint quantile regression
by: Okabe, Masaaki, et al.
Published: (2025)

Towards a power analysis for PLS-based methods
by: Andreella, Angela, et al.
Published: (2024)

Robust confidence intervals for generalized linear models
by: Panarotto, Andrea, et al.
Published: (2026)

Inference in generalized linear models with robustness to misspecified variances
by: De Santis, Riccardo, et al.
Published: (2022)

Extreme quantile regression with deep learning
by: Richards, Jordan, et al.
Published: (2024)

General Bayesian quantile regression for counts via generative modeling
by: Yamauchi, Yuta, et al.
Published: (2024)

Interval-censored linear quantile regression
by: Choi, Taehwa, et al.
Published: (2024)

Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)

Semiparametric model averaging for high-dimensional quantile regression with nonignorable nonresponse
by: Xiong, Wei, et al.
Published: (2025)

Generalized random forest for extreme quantile regression
by: Vidagbandji, Lucien M., et al.
Published: (2025)

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

A lack-of-fit test for quantile regression models with high-dimensional covariates
by: Conde-Amboage, Mercedes, et al.
Published: (2015)

On function-on-function linear quantile regression
by: Mutis, Muge, et al.
Published: (2025)

Change-plane analysis in functional response quantile regression
by: Guan, Xin, et al.
Published: (2025)

The $\infty$-S test via regression quantile affine LASSO
by: Sardy, Sylvain, et al.
Published: (2024)

Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026)

Post-selection Inference in Multiverse Analysis (PIMA): an inferential framework based on the sign flipping score test
by: Girardi, Paolo, et al.
Published: (2022)

Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)

Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024)

Optimal subsampling for functional composite quantile regression in massive data
by: Pan, Jingxiang, et al.
Published: (2024)

Bayesian structured additive quantile regression for inflated bounded data
by: Queiroz, Francisco F., et al.
Published: (2026)

Penalized function-on-function linear quantile regression
by: Beyaztas, Ufuk, 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)

Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)

Invariant quantile regression for heterogeneous environments
by: Fu, Bo, et al.
Published: (2026)

Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025)

Inference for non-stationary time series quantile regression with inequality constraints
by: Sun, Yuan, et al.
Published: (2024)

Propensity score weighted Cox regression for survival outcomes in observational studies with multiple or factorial treatments
by: Zhao, Zixian, et al.
Published: (2026)

Partial Conjunction Analysis in Neuroimaging: A Comparative Study
by: Dey, Monitirtha, et al.
Published: (2025)

Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)

A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
by: Burger, Divan A., et al.
Published: (2025)

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)

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)

Selective inference for fMRI cluster-wise analysis, issues, and recommendations for critical vector selection: A comment on Blain et al
by: Andreella, Angela, et al.
Published: (2023)

PCA score regression: the art of losing power
by: Lu, Yu, et al.
Published: (2026)