Cover Image

Variational Inference for Variable Selection in Scalar-on-Function Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	da Cruz, Ana Carolina, de Souza, Camila P. E., Sousa, Pedro H. T. O.
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors
by: da Cruz, Ana Carolina, et al.
Published: (2024)

BayesCPclust: A Bayesian Approach for Clustering Constant-Wise Change-Point Data
by: da Cruz, Ana Carolina, et al.
Published: (2023)

Scalable Variational Bayes Inference for Dynamic Variable Selection
by: Bianco, Nicolas, et al.
Published: (2023)

Nonlinear Multivariate Function-on-function Regression with Variable Selection
by: Haijie, Xu, et al.
Published: (2024)

Scalar-on-Shape Regression Models for Functional Data Analysis
by: Bhadra, Sayan, et al.
Published: (2024)

Function on Scalar Regression with Complex Survey Designs
by: Koffman, Lily, et al.
Published: (2025)

Scalable Variable Selection and Model Averaging for Latent Regression Models Using Approximate Variational Bayes
by: Zens, Gregor, et al.
Published: (2025)

Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)

Variational Inference for Count Response Semiparametric Regression: A Convex Solution
by: Murru, Virginia, et al.
Published: (2025)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Variable Selection for Linear Regression Imputation in Surveys
by: An, Ziming, et al.
Published: (2026)

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

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

Comparing Variable Selection and Model Averaging Methods for Logistic Regression
by: Sekulovski, Nikola, et al.
Published: (2025)

Coverage of Credible Sets for Regression under Variable Selection
by: Pal, Samhita, et al.
Published: (2024)

Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)

Variable Selection in Functional Linear Quantile Regression for Identifying Associations between Daily Patterns of Physical Activity and Cognitive Function
by: Yue, Yuanzhen, et al.
Published: (2026)

Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs
by: Forastiere, Laura, et al.
Published: (2022)

Sequential Hierarchical Regression Imputation with Variable Selection Routines
by: Li, Qiushuang, et al.
Published: (2025)

Simultaneous Inference for Time Series Functional Linear Regression
by: Cui, Yan, et al.
Published: (2022)

Focused Relative Risk Information Criterion for Variable Selection in Linear Regression
by: Hjort, Nils Lid
Published: (2026)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
by: Cooper, Alysha, et al.
Published: (2025)

Spatial Scalar-on-Function Quantile Regression Model
by: Mutis, Muge, et al.
Published: (2025)

Variational Nonparametric Inference in Functional Stochastic Block Model
by: Shang, Zuofeng, et al.
Published: (2024)

BSNMani: Bayesian Scalar-on-network Regression with Manifold Learning
by: Li, Yijun, et al.
Published: (2024)

Matrix-Variate Regression Model for Multivariate Spatio-Temporal Data
by: Diniz, Carlos A. Ribeiro, et al.
Published: (2025)

Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, et al.
Published: (2025)

Possibilistic Inferential Models for Post-Selection Inference in High-Dimensional Linear Regression
by: Lin, Yaohui
Published: (2025)

Inference for Fréchet Regression
by: Song, Wookyeong, et al.
Published: (2026)

Variable Selection in Functional Linear Cox Model
by: Yue, Yuanzhen, et al.
Published: (2025)

An Online Algorithm for Bayesian Variable Selection in Logistic Regression Models With Streaming Data
by: Ghosal, Payel, et al.
Published: (2025)

High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
by: Ye, Shangyuan, et al.
Published: (2024)

Model-based Clustering of Multi-Dimensional Zero-Inflated Counts via the EM Algorithm
by: AghahosseinaliShirazi, Zahra, et al.
Published: (2024)

Inference with Randomized Regression Trees
by: Bakshi, Soham, et al.
Published: (2024)

Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
by: Mahmoudi, Fatemeh, et al.
Published: (2025)

Estimation and Inference for Change Points in Functional Regression Time Series
by: Kumar, Shivam, et al.
Published: (2024)

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
by: Ye, Shengbin, et al.
Published: (2024)

Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)

Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
by: Zhang, Zhenhao, et al.
Published: (2024)