Imagen de Portada

Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ghosal, Rahul, Matabuena, Marcos, Saha, Enakshi
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

Functional Time Transformation Model with Applications to Digital Health
por: Ghosal, Rahul, et al.
Publicado: (2024)

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
por: Matabuena, Marcos
Publicado: (2025)

Random-Effects Algorithm for Random Objects in Metric Spaces
por: Matabuena, Marcos, et al.
Publicado: (2026)

Personalized Imputation in metric spaces via conformal prediction: Applications in Predicting Diabetes Development with Continuous Glucose Monitoring Information
por: Matabuena, Marcos, et al.
Publicado: (2024)

Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs
por: Matabuena, Marcos, et al.
Publicado: (2024)

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

Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials
por: Matabuena, Marcos, et al.
Publicado: (2024)

Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model
por: Matabuena, Marcos, et al.
Publicado: (2023)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
por: Matabuena, Marcos, et al.
Publicado: (2025)

Conformal uncertainty quantification using kernel depth measures in separable Hilbert spaces
por: Matabuena, Marcos, et al.
Publicado: (2024)

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

ROC Analysis with Covariate Adjustment Using Neural Network Models: Evaluating the Role of Age in the Physical Activity-Mortality Association
por: Hammouri, Ziad Akram Ali, et al.
Publicado: (2025)

Multivariate Scalar on Multidimensional Distribution Regression With Application to Modeling the Association Between Physical Activity and Cognitive Functions
por: Rahul Ghosal, et al.
Publicado: (2024)

SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
por: Bar, Haim, et al.
Publicado: (2026)

Bayesian Mixed-Effects Models for Multilevel Two-way Functional Data: Applications to EEG Experiments
por: Ju, Xiaomeng, et al.
Publicado: (2025)

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

Mixed Membership Models for Multilevel Functional Data
por: Telesca, Donatello, et al.
Publicado: (2026)

Distributional Random Forests for Complex Survey Designs on Reproducing Kernel Hilbert Spaces
por: Zou, Yating, et al.
Publicado: (2025)

Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model
por: Yi, Mingyang, et al.
Publicado: (2024)

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

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
por: Ding, Feng, et al.
Publicado: (2024)

On the Need for Spatial Random Effects in Bayesian Regression Models for Multilevel Areal Data
por: Lin, Shuqi, et al.
Publicado: (2026)

Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces
por: Lugosi, Gábor, et al.
Publicado: (2025)

A General Framework for Random Effects Models for Binary, Ordinal, Count Type and Continuous Dependent Variables Including Variable Selection
por: Tutz, Gerhard
Publicado: (2024)

Gradient Boosting for Spatial Panel Models with Random and Fixed Effects
por: Balzer, Michael, et al.
Publicado: (2026)

Optimal Cut-Point Estimation for Functional Digital Biomarkers: Application to Diabetes Risk Stratification via Continuous Glucose Monitoring
por: Lado-Baleato, Oscar, et al.
Publicado: (2024)

Multilevel Regression Discontinuity Models with Latent Variables
por: Morell, Monica, et al.
Publicado: (2026)

Fixed-Effects Models for Causal Inference in Longitudinal Cluster Randomized and Quasi-Experimental Trials
por: Lee, Kenneth M., et al.
Publicado: (2026)

Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data
por: Álvarez-López, Antonio, et al.
Publicado: (2025)

Ordinal Mixed-Effects Random Forest
por: Bergonzoli, Giulia, et al.
Publicado: (2024)

Scalable Krylov Subspace Methods for Generalized Mixed-Effects Models with Crossed Random Effects
por: Kündig, Pascal, et al.
Publicado: (2025)

Synthetic Heterogeneous-Effects LASSO: A Fixed-effects Estimation Approach for High-dimensional Mixed-effects Models
por: Ye, Shangyuan, et al.
Publicado: (2026)

Prediction Inference Using Generalized Functional Mixed Effects Models
por: Zhou, Xinkai, et al.
Publicado: (2025)

Multilevel Control Functional
por: Li, Kaiyu, et al.
Publicado: (2023)

Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
por: Dey, Debangan, et al.
Publicado: (2026)

Uncertainty quantification for intervals
por: Meixide, Carlos García, et al.
Publicado: (2024)

Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
por: Vu, Quan, et al.
Publicado: (2024)

Survival on Image Regression With Application to Partially Functional Distributional Representation of Physical Activity
por: Rahul Ghosal, et al.
Publicado: (2026)

Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
por: Matabuena, Marcos, et al.
Publicado: (2024)

Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models
por: Davezies, Laurent, et al.
Publicado: (2021)