Cover Image

Reduced Rank Regression for Mixed Predictor and Response Variables

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Rooij, Mark, Cotugno, Lorenza, Siciliano, Roberta
Format:	Preprint
Published:	2024
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Logistic Multidimensional Data Analysis for Ordinal Response Variables using a Cumulative Link function
by: de Rooij, Mark, et al.
Published: (2024)

Bayesian Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2024)

A Multinomial Canonical Decomposition Model, with emphasis on the analysis of Multivariate Binary data
by: de Rooij, Mark
Published: (2024)

Bayesian Markov-Switching Partial Reduced-Rank Regression
by: Pintado, Maria F., et al.
Published: (2025)

Kantorovich Regression Analysis of Random Distributions with Mixed Predictors
by: Kim, Kaheon, et al.
Published: (2026)

ProfileGLMM: a R Package Extending Bayesian Profile Regression using Generalised Linear Mixed Models
by: Amestoy, Matteo, et al.
Published: (2026)

The MELODIC family for simultaneous binary logistic regression in a reduced space
by: de Rooij, Mark, et al.
Published: (2021)

Generalized Tree-Informed Mixed Model Regression
by: Allis, Jeremiah, et al.
Published: (2025)

Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions
by: Donnat, Claire, et al.
Published: (2024)

Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)

Collapsing Categories for Regression with Mixed Predictors
by: Song, Chaegeun, et al.
Published: (2025)

Regularized Parameter Estimation in Mixed Model Trace Regression
by: Hultman, Ian, et al.
Published: (2025)

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

Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, 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)

Sparse Multivariate Linear Regression with Strongly Associated Response Variables
by: Ham, Daeyoung, et al.
Published: (2024)

Low-Rank Regularization of Global Fréchet Regression Models for Distributional Responses
by: Han, Kyunghee, et al.
Published: (2025)

Functional Regression Models with Functional Response: A New Approach and a Comparative Study
by: Bande, Manuel Febrero, et al.
Published: (2022)

Generalized Reduced-Rank Regression with Homogeneity Pursuit
by: Dong, Ruipeng, et al.
Published: (2025)

Generalized Rank Regression
by: Tu, Jiyuan, et al.
Published: (2026)

Boosting Distributional Copula Regression for Bivariate Binary, Discrete and Mixed Responses
by: Sanchez, Guillermo Briseño, et al.
Published: (2024)

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

On the Choice of Model Space Priors and Multiplicity Control in Bayesian Variable Selection: An Application to Streaming Logistic Regression
by: Ghosh, Joyee
Published: (2025)

Possibilistic Instrumental Variable Regression
by: Steiner, Gregor, et al.
Published: (2025)

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

A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors with Mixed-Type Responses
by: Wang, Shao-Hsuan, et al.
Published: (2025)

Bayesian Profile Regression with Linear Mixed Models (Profile-LMM) applied to Longitudinal Exposome Data
by: Amestoy, Matteo, 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)

Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)

Conditional Rank-Rank Regression
by: Chernozhukov, Victor, et al.
Published: (2024)

Variational Inference for Variable Selection in Scalar-on-Function Regression
by: da Cruz, Ana Carolina, et al.
Published: (2026)

Nonlinear Regression Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)

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

Robust Functional Regression with Discretely Sampled Predictors
by: Kalogridis, Ioannis, et al.
Published: (2023)

Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection
by: Toto, Giovanni, et al.
Published: (2026)

Compressed Bayesian Tensor Regression
by: Casarin, Roberto, et al.
Published: (2025)

Sparse Rank Regression for Restricted-Access Economic Data
by: Zhang, Wen, et al.
Published: (2026)

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