Imagen de Portada

Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Xiwei, Luan, Yuanyuan, Zoh, Roger S., Xue, Lan, Jadhav, Sneha, Tekwe, Carmen D.
Formato:	Preprint
Publicado:	2024
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
por: Luan, Yuanyuan, et al.
Publicado: (2023)

Clustering of functional data prone to complex heteroscedastic measurement error
por: Mai, Andi, et al.
Publicado: (2025)

Least squares-based methods to bias adjustment in scalar-on-function regression model using a functional instrumental variable
por: Chen, Xiwei, et al.
Publicado: (2025)

Addressing zero-inflated and mis-measured functional predictors in scalar-on-function regression model
por: Ji, Heyang, et al.
Publicado: (2025)

A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables
por: Roger S Zoh, et al.
Publicado: (2024)

Clustering functional data with measurement errors: a simulation-based approach
por: Zhu, Tingyu, et al.
Publicado: (2024)

Spatial function-on-function regression
por: Beyaztas, Ufuk, et al.
Publicado: (2024)

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
por: Yuanyuan Luan, et al.
Publicado: (2026)

Functional Linear Cox Regression Model with Frailty
por: Inan, Deniz, et al.
Publicado: (2025)

MECfda: An R Package for Bias Correction Due to Measurement Error in Functional and Scalar Covariates in Scalar-on-Function Regression Models
por: Ji, Heyang, et al.
Publicado: (2025)

Estimating the effect of lymphovascular invasion on 2-year survival probability under endogeneity: a recursive copula-based approach
por: Ou, Yang, et al.
Publicado: (2026)

Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression
por: Qin, Caihong, et al.
Publicado: (2026)

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

Nonparametric regression for a circular response with error-in-covariate
por: Woolsey, Nicholas, et al.
Publicado: (2025)

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

Correction of estimator bias in linear regression with categorical covariates with classification error
por: Dias, Alexandre Garcia, et al.
Publicado: (2025)

Penalized function-on-function linear quantile regression
por: Beyaztas, Ufuk, et al.
Publicado: (2025)

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

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

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

Unsupervised Bayesian classification for models with scalar and functional covariates
por: Garcia, Nancy L., et al.
Publicado: (2022)

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

Spatial autoregressive model with measurement error in covariates
por: Paul, Subhadeep, et al.
Publicado: (2024)

Extremile scalar-on-function regression
por: Battagliola, Maria Laura, et al.
Publicado: (2024)

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

Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models
por: Fathi, Hedayat, et al.
Publicado: (2025)

Omitted covariates bias and finite mixtures of regression models for longitudinal responses
por: Alfo', Marco, et al.
Publicado: (2026)

Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study
por: Thiébaut, Anne C M, et al.
Publicado: (2026)

Global quantile regression
por: Mrkvička, Tomáš, et al.
Publicado: (2023)

Optimal monotone conditional error functions
por: Brannath, Werner, et al.
Publicado: (2024)

Goodness-of-fit testing for the error distribution in functional linear models
por: Neumeyer, Natalie, et al.
Publicado: (2025)

A novel generalized additive scalar-on-function regression model for partially observed multidimensional functional data: An application to air quality classification
por: Hernández-Amaro, Pavel, et al.
Publicado: (2025)

Tree-aggregated regression for compositional data with measurement errors
por: Li, Zhenghan, et al.
Publicado: (2026)

Statistical inference for partially shape-constrained function-on-scalar linear regression models
por: Han, Kyunghee, et al.
Publicado: (2024)

Distributional outcome regression via quantile functions and its application to modelling continuously monitored heart rate and physical activity
por: Ghosal, Rahul, et al.
Publicado: (2023)

Testing for changes in the error distribution in functional linear models
por: Neumeyer, Natalie, et al.
Publicado: (2024)

Bayesian estimation of covariate assisted principal regression for brain functional connectivity
por: Park, Hyung G.
Publicado: (2023)

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

A note on wavelet shrinkage in nonparametric regression models with ARFIMA errors
por: Sousa, Alex Rodrigo dos S., et al.
Publicado: (2025)

On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary errors
por: Sousa, Alex Rodrigo dos S., et al.
Publicado: (2024)