Cover Image

Proposal of a general framework to categorize continuous predictor variables

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barrio, Irantzu, Roca-Pardiñas, Javier, Esteban, Cristobal, Durban, Maria
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic prediction of death risk given a renewal hospitalization process
by: Pérez-Izquierdo, Telmo J., et al.
Published: (2024)

Variable Domain Multivariate Functional Principal Component Analysis
by: Amaro, Pavel Hernández, et al.
Published: (2026)

Design-Based Inference for the AUC with Complex Survey Data
by: Iparragirre, Amaia, et al.
Published: (2026)

Modelling physical activity profiles in COPD patients: a fully functional approach to variable domain functional regression models
by: Hernandez-Amaro, Pavel, et al.
Published: (2024)

A categorization of performance measures for estimated non-linear associations between an outcome and continuous predictors
by: Ullmann, Theresa, et al.
Published: (2025)

JEL ratio test for independence between a continuous and a categorical random variable
by: Suresh, Saparya, et al.
Published: (2024)

Fast Estimation of the Composite Link Model for Multidimensional Grouped Counts
by: Camarda, Carlo G., et al.
Published: (2024)

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

Estimation of logistic regression parameters for complex survey data: a real data based simulation study
by: Iparragirre, Amaia, et al.
Published: (2023)

Variable selection via knockoffs in missing data settings with categorical predictors
by: Bacci, Silvia, et al.
Published: (2025)

flexBART: Flexible Bayesian regression trees with categorical predictors
by: Deshpande, Sameer K.
Published: (2022)

A general framework for formulating structured variable selection
by: Wang, Guanbo, et al.
Published: (2021)

A note on distance variance for categorical variables
by: Zhang, Qingyang
Published: (2024)

Reducing the dimensionality and granularity in hierarchical categorical variables
by: Wilsens, Paul, et al.
Published: (2024)

Covariate balancing for causal inference on categorical and continuous treatments
by: Lee, Seong-ho, et al.
Published: (2021)

Modelling phenology using ordered categorical generalized additive models
by: Miller, David L
Published: (2025)

Regularized Reduced Rank Regression for mixed predictor and response variables
by: Cotugno, Lorenza, et al.
Published: (2025)

Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal components
by: Cardot, Hervé, et al.
Published: (2025)

Principal stratification with continuous treatments and continuous post-treatment variables
by: Antonelli, Joseph, et al.
Published: (2023)

Agreement coefficients for continuous variables: A review
by: Vallejos, Ronny
Published: (2026)

A general framework for inference on algorithm-agnostic variable importance
by: Williamson, Brian D., et al.
Published: (2020)

A joint model of correlated ordinal and continuous variables
by: Vana-Gür, Laura, et al.
Published: (2024)

Multiple imputation for multilevel data with continuous and binary variables
by: Audigier, Vincent, et al.
Published: (2017)

Graphical model-based clustering of categorical data
by: Ferrini, Laura, et al.
Published: (2026)

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

Maximin distance designs for mixed continuous, ordinal, and binary variables
by: Lan, Hui, et al.
Published: (2025)

A general framework for probabilistic model uncertainty
by: Shirvaikar, Vik, et al.
Published: (2024)

On clustering levels of a hierarchical categorical risk factor
by: Campo, Bavo D. C., et al.
Published: (2023)

A spatial scan statistical for categorical, functional data
by: Frévent, Camille, et al.
Published: (2026)

A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)

Pearson's correlation under the scope: Assessment of the efficiency of Pearson's correlation to select predictor variables for linear models
by: Attallah, Mustafa
Published: (2024)

Grade of membership analysis for multi-layer ordinal categorical data
by: Qing, Huan
Published: (2024)

Bayesian estimation of causal effects from observational categorical data
by: Kvisgaard, Vera, et al.
Published: (2025)

Testing for sufficient follow-up in cure models with categorical covariates
by: Yuen, Tsz Pang, et al.
Published: (2025)

Model-based clustering of categorical data based on the Hamming distance
by: Argiento, Raffaele, et al.
Published: (2022)

Distributed variable screening for generalized linear models
by: Diao, Tianbo, et al.
Published: (2024)

A new coefficient to measure agreement between continuous variables
by: Vallejos, Ronny, et al.
Published: (2025)

permApprox: a general framework for accurate permutation p-value approximation
by: Peschel, Stefanie, et al.
Published: (2026)

Scalable calibration of individual-based epidemic models through categorical approximations
by: Rimella, Lorenzo, et al.
Published: (2025)

A reduced rank model for spatial categorical data with many classes
by: May, Paul B, et al.
Published: (2026)