Imagen de Portada

Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Fathi, Hedayat, Cremona, Marzia A., Severino, Federico
Formato:	Preprint
Publicado:	2025
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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)

Online robust estimation and bootstrap inference for function-on-scalar regression
por: Cheng, Guanghui, et al.
Publicado: (2024)

Anisotropic local constant smoothing for change-point regression function estimation
por: Thompson, John R. J., et al.
Publicado: (2020)

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

Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
por: Chen, Xiwei, et al.
Publicado: (2024)

Nonparametric function-on-scalar regression using deep neural networks
por: Takeshita, Kazunori, et al.
Publicado: (2025)

Bayesian scalar-on-network regression with applications to brain functional connectivity
por: Ju, Xiaomeng, et al.
Publicado: (2024)

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)

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

A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs
por: Gansou, Yvelin, et al.
Publicado: (2025)

Robust spatial scalar-on-function regression: A Fisher-consistent redescending M-estimation approach
por: Mutis, Muge, et al.
Publicado: (2026)

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)

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

Sampling-based federated inference for M-estimators with non-smooth objective functions
por: Li, Xiudi, et al.
Publicado: (2025)

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

Subgroup learning in functional regression models under the RKHS framework
por: Guan, Xin, et al.
Publicado: (2025)

Large multi-response linear regression estimation based on low-rank pre-smoothing
por: Tian, Xinle, et al.
Publicado: (2024)

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

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

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

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

Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectations
por: Chopin, Nicolas, et al.
Publicado: (2024)

The $α$--regression for compositional data: a unified framework for standard, temporal and spatial regression models including compositional predictors
por: Tsagris, Michail, et al.
Publicado: (2025)

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

Testing for linearity in scalar-on-function regression with responses missing at random
por: Febrero-Bande, Manuel, et al.
Publicado: (2023)

Projection-pursuit Bayesian regression for symmetric matrix predictors
por: Ju, Xiaomeng, et al.
Publicado: (2024)

Envelope-based partial least squares in functional regression
por: Wu, Minxuan, et al.
Publicado: (2025)

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

Quantile regression with generalized multiquadric loss function
por: Gao, Wenwu, et al.
Publicado: (2025)

On a class of binary regression models and their robust estimation
por: Hayashi, Kenichi, et al.
Publicado: (2025)

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)

Double soft-thresholded model for multi-group scalar on vector-valued image regression
por: Roy, Arkaprava, et al.
Publicado: (2022)

Inference for function-on-function regression: central limit theorem and residual bootstrap
por: Yeon, Hyemin
Publicado: (2026)

Fast and efficient algorithms for sparse semiparametric bi-functional regression
por: Novo, Silvia, et al.
Publicado: (2024)

Climate change analysis from LRD manifold functional regression
por: Ovalle-Muñoz, Diana P., et al.
Publicado: (2024)

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

Optimal design of dynamic experiments for scalar-on-function linear models with application to a biopharmaceutical study
por: Michaelides, Damianos, et al.
Publicado: (2021)

Fusion regression methods with repeated functional data
por: Moindjié, Issam-Ali, et al.
Publicado: (2023)