:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cotugno, Lorenza, de Rooij, Mark, Siciliano, Roberta
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2511.16718
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reduced Rank Regression for Mixed Predictor and Response Variables
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)

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

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

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

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

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

Unbiased mixed variables distance
by: van de Velden, Michel, et al.
Published: (2024)

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

Proposal of a general framework to categorize continuous predictor variables
by: Barrio, Irantzu, et al.
Published: (2024)

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

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

Causal Interpretation of Regressions With Ranks
by: Lei, Lihua
Published: (2024)

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

Does Regression Produce Representative Causal Rankings?
by: Lal, Apoorva
Published: (2024)

Conditional Rank-Rank Regression via Deep Conditional Transformation Models
by: Wang, Xiaoyi, et al.
Published: (2026)

Logistic regression with missing responses and predictors: a review of existing approaches and a case study
by: Martins, Susana Rafaela, et al.
Published: (2023)

Stable Reduced-Rank VAR Identification
by: Rong, Xinhui, et al.
Published: (2024)

Exact Coordinate Descent for High-Dimensional Regularized Huber Regression
by: Kim, Younghoon, et al.
Published: (2025)

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

Envelope-Guided Regularization for Improved Prediction in High-Dimensional Multivariate Regression
by: Jacobson, Tate, et al.
Published: (2025)

Transfer Learning for Moderate-Dimensional Ridge-Regularized Robust Linear Regression
by: Lyu, Lingfeng, et al.
Published: (2026)

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)

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

Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions
by: Hecq, Alain, et al.
Published: (2023)

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

Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)

Rank-Based Sparse Regression in Principal Components Space under Measurement Error
by: Feng, Long, et al.
Published: (2026)

A nutritionally informed model for Bayesian variable selection with metabolite response variables
by: Clark-Boucher, Dylan, et al.
Published: (2025)

Covariance-Driven Regression Trees: Reducing Overfitting in CART
by: Zhang, Likun, et al.
Published: (2026)

Unified Operator Framework for Functional and Multivariate Regression
by: Carpenter, Mark, et al.
Published: (2026)

Distributed Convoluted Rank Regression for Non-Shareable Data under Non-Additive Losses
by: Zhang, Wen, et al.
Published: (2026)

Inference for the proportional odds cumulative logit model with monotonicity constraints for ordinal predictors and ordinal response
by: Espinosa-Brito, Javier, et al.
Published: (2021)

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

View selection in multi-view stacking: Choosing the meta-learner
by: van Loon, Wouter, et al.
Published: (2020)

Reduced-Rank Matrix Autoregressive Models: A Medium $N$ Approach
by: Hecq, Alain, et al.
Published: (2024)

Regularized Regression by Composition: Identifiability, Structured Penalization, and Statistical Guarantees for Multi-Flow Distributional Models
by: Kadhem, Safaa K.
Published: (2026)

Fusion of Tree-induced Regressions for Clinico-genomic Data
by: Goedhart, Jeroen M., et al.
Published: (2024)