Image de couverture de livre

MECfda: An R Package for Bias Correction Due to Measurement Error in Functional and Scalar Covariates in Scalar-on-Function Regression Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ji, Heyang, Beyaztas, Ufuk, Escobar-Velasquez, Nicolas, Luan, Yuanyuan, Chen, Xiwei, Zhang, Mengli, Zoh, Roger, Xue, Lan, Tekwe, Carmen
Format:	Preprint
Publié:	2025
Sujets:	Methodology Computation
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression
par: Qin, Caihong, et autres
Publié: (2026)

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
par: Yuanyuan Luan, et autres
Publié: (2026)

Functional Linear Cox Regression Model with Frailty
par: Inan, Deniz, et autres
Publié: (2025)

Least squares-based methods to bias adjustment in scalar-on-function regression model using a functional instrumental variable
par: Chen, Xiwei, et autres
Publié: (2025)

Addressing zero-inflated and mis-measured functional predictors in scalar-on-function regression model
par: Ji, Heyang, et autres
Publié: (2025)

Spatial Scalar-on-Function Quantile Regression Model
par: Mutis, Muge, et autres
Publié: (2025)

Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
par: Chen, Xiwei, et autres
Publié: (2024)

A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables
par: Roger S Zoh, et autres
Publié: (2024)

Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
par: Luan, Yuanyuan, et autres
Publié: (2023)

Clustering of functional data prone to complex heteroscedastic measurement error
par: Mai, Andi, et autres
Publié: (2025)

Spatial function-on-function regression
par: Beyaztas, Ufuk, et autres
Publié: (2024)

Robust Functional Logistic Regression
par: Akturk, Berkay, et autres
Publié: (2025)

Enhancing Spatial Functional Linear Regression with Robust Dimension Reduction Methods
par: Beyaztas, Ufuk, et autres
Publié: (2024)

Estimating the effect of lymphovascular invasion on 2-year survival probability under endogeneity: a recursive copula-based approach
par: Ou, Yang, et autres
Publié: (2026)

Clustering functional data with measurement errors: a simulation-based approach
par: Zhu, Tingyu, et autres
Publié: (2024)

On the Distributed Estimation for Scalar-on-Function Regression Models
par: He, Peilun, et autres
Publié: (2026)

Function on Scalar Regression with Complex Survey Designs
par: Koffman, Lily, et autres
Publié: (2025)

Causal Covariate Selection for the Regression Calibration Method for Exposure Measurement Error Bias Correction
par: Wenze Tang, et autres
Publié: (2026)

Functional Liu Regression for Scalar-on-Functional Models in High-Dimensional Settings
par: Ashraf, Shaista, et autres
Publié: (2026)

Scalar-on-Shape Regression Models for Functional Data Analysis
par: Bhadra, Sayan, et autres
Publié: (2024)

Variational Inference for Variable Selection in Scalar-on-Function Regression
par: da Cruz, Ana Carolina, et autres
Publié: (2026)

Stock Return Prediction Based on a Functional Capital Asset Pricing Model
par: Ufuk Beyaztas, et autres
Publié: (2025)

Stock Return Prediction based on a Functional Capital Asset Pricing Model
par: Beyaztas, Ufuk, et autres
Publié: (2025)

Geometric Amplitudes: A Covariant Functional Approach for Massless Scalar Theories
par: Delgado, Antonio, et autres
Publié: (2026)

Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
par: Tang, Wenze, et autres
Publié: (2023)

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm
par: Basaran, Merve, et autres
Publié: (2025)

Hybrid Partial Least Squares Regression with Multiple Functional and Scalar Predictors
par: Mun, Jongmin, et autres
Publié: (2026)

Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
par: Sousa, Pedro Henrique T. O., et autres
Publié: (2023)

Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model
par: Bugrayhan Bickici, et autres
Publié: (2025)

Penalized function-on-function linear quantile regression
par: Beyaztas, Ufuk, et autres
Publié: (2025)

Robust spatial scalar-on-function regression: A Fisher-consistent redescending M-estimation approach
par: Mutis, Muge, et autres
Publié: (2026)

Robust function-on-function interaction regression
par: Beyaztas, Ufuk, et autres
Publié: (2024)

The Scalar Mach-Sciama Theory of Gravitation
par: Velásquez-Toribio, et autres
Publié: (2026)

Dynamic Single‐Index Scalar‐On‐Function Model
par: Yiwei Li, et autres
Publié: (2025)

Nonparametric Regression and Error Covariance Function Estimation -- Beyond Short-Range Dependence
par: Liu, Sisheng, et autres
Publié: (2025)

Scalar-Measurement Attitude Estimation on $\mathbf{SO}(3)$ with Bias Compensation
par: Melis, Alessandro, et autres
Publié: (2026)

Weibull Regression With Both Measurement Error and Misclassification in Covariates
par: Zhiqiang Cao, et autres
Publié: (2025)

Positive Scalar Curvature and crystallographic fundamental groups
par: Barcenas, Noe, et autres
Publié: (2025)

Universal Approximation of Continuous Functionals on Compact Subsets via Linear Measurements and Scalar Nonlinearities
par: Krylov, Andrey, et autres
Publié: (2026)

Penalized spatial function-on-function regression
par: Beyaztas, Ufuk, et autres
Publié: (2025)