Saved in:
| Main Authors: | Porto, María Bugallo, González, Domingo Morales, Salvati, Nicola, Francesco, Schirripa Spagnolo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.09062 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation
by: María Bugallo, et al.
Published: (2026)
by: María Bugallo, et al.
Published: (2026)
Effects of model misspecification on small area estimators
by: Chen, Yuting, et al.
Published: (2024)
by: Chen, Yuting, 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)
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)
Accounting for Mismatch Error in Small Area Estimation with Linked Data
by: Fabrizi, Enrico, et al.
Published: (2024)
by: Fabrizi, Enrico, et al.
Published: (2024)
Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
by: Chen, Yuting, et al.
Published: (2025)
by: Chen, Yuting, 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)
by: Chen, Xiwei, 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)
by: Burger, Divan A., et al.
Published: (2025)
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)
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 small-area ecological approach for estimating vote changes and their determinants
by: Bracalente, Bruno, et al.
Published: (2025)
by: Bracalente, Bruno, 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)
On linkage bias-correction for estimators using iterated bootstraps
by: Tam, Siu-Ming, et al.
Published: (2025)
by: Tam, Siu-Ming, et al.
Published: (2025)
Global quantile regression
by: Mrkvička, Tomáš, et al.
Published: (2023)
by: Mrkvička, Tomáš, et al.
Published: (2023)
Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
by: Li, Mengke, et al.
Published: (2025)
by: Li, Mengke, 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)
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)
Smooth and shape-constrained quantile distributed lag models
by: Jin, Yisen, et al.
Published: (2024)
by: Jin, Yisen, et al.
Published: (2024)
Length-biased Birnbaum-Saunders quantile regression with application to water evaporation
by: Saulo, Helton, et al.
Published: (2026)
by: Saulo, Helton, et al.
Published: (2026)
Partial frontiers are not quantiles
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
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)
Temporal network analysis via a degree-corrected Cox model
by: Chen, Yuguo, et al.
Published: (2025)
by: Chen, Yuguo, et al.
Published: (2025)
Efficient estimation and correction of selection-induced bias with order statistics
by: McLatchie, Yann, et al.
Published: (2023)
by: McLatchie, Yann, et al.
Published: (2023)
Asymptotic theory and bias correction for the Wallace--Freeman estimator
by: Makalic, Enes, et al.
Published: (2026)
by: Makalic, Enes, et al.
Published: (2026)
Spatial quantile clustering of climate data
by: Gaetan, Carlo, et al.
Published: (2024)
by: Gaetan, Carlo, et al.
Published: (2024)
Extreme quantile regression with deep learning
by: Richards, Jordan, et al.
Published: (2024)
by: Richards, Jordan, et al.
Published: (2024)
Pseudo Empirical Best Prediction of Multiple Characteristics in Small Areas
by: Acero, William, et al.
Published: (2026)
by: Acero, William, et al.
Published: (2026)
Likelihood-ratio inference on differences in quantiles
by: Miller, Evan
Published: (2023)
by: Miller, Evan
Published: (2023)
Characterizing quantile-varying covariate effects under the accelerated failure time model
by: Reeder, Harrison T., et al.
Published: (2023)
by: Reeder, Harrison T., et al.
Published: (2023)
Detecting critical treatment effect bias in small subgroups
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)
The quantile-based classifier with variable-wise parameters
by: Berrettini, Marco, et al.
Published: (2024)
by: Berrettini, Marco, 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)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Towards more realistic climate model outputs: A multivariate bias correction based on zero-inflated vine copulas
by: Funk, Henri, et al.
Published: (2024)
by: Funk, Henri, et al.
Published: (2024)
Similar Items
-
Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation
by: María Bugallo, et al.
Published: (2026) -
Effects of model misspecification on small area estimators
by: Chen, Yuting, et al.
Published: (2024) -
lqmix: an R package for longitudinal data analysis via linear quantile mixtures
by: Alfó, Marco, et al.
Published: (2023) -
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
by: Cheng, Chao, et al.
Published: (2022) -
Accounting for Mismatch Error in Small Area Estimation with Linked Data
by: Fabrizi, Enrico, et al.
Published: (2024)