Imagen de Portada

Modeling Ordinal Survey Data with Unfolding Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lei, Rayleigh, Rodriguez, Abel
Formato:	Preprint
Publicado:	2026
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
por: Shi, Skylar, et al.
Publicado: (2025)

Logit unfolding choice models for binary data
por: Lei, Rayleigh, et al.
Publicado: (2024)

A Novel Class of Unfolding Models for Binary Preference Data
por: Lei, Rayleigh, et al.
Publicado: (2023)

Calibrating hierarchical Bayesian domain inference for a proportion
por: Lei, Rayleigh, et al.
Publicado: (2025)

Regularization and Model Selection for Ordinal-on-Ordinal Regression with Applications to Food Products' Testing and Survey Data
por: Hoshiyar, Aisouda, et al.
Publicado: (2023)

Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court
por: Lei, Rayleigh, et al.
Publicado: (2023)

Correcting for Nonignorable Nonresponse Bias in Ordinal Observational Survey Data
por: Lafférs, Lukáš, et al.
Publicado: (2026)

On Data Analysis Pipelines and Modular Bayesian Modeling
por: Lipman, Erin, et al.
Publicado: (2024)

Ordinal Outcome State-Space Models for Intensive Longitudinal Data
por: Henry, Teague R., et al.
Publicado: (2023)

A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries
por: Giampino, Alice, et al.
Publicado: (2024)

Flexible Bayesian Modeling for Longitudinal Binary and Ordinal Responses
por: Kang, Jizhou, et al.
Publicado: (2023)

Unified Multivariate Ordinal Model for analysis of sensory attributes
por: Melo, Janaína Marques e, et al.
Publicado: (2025)

Goodness-of-Fit Tests for Latent Class Models with Ordinal Categorical Data
por: Qing, Huan
Publicado: (2026)

A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
por: Gosnell, Arron, et al.
Publicado: (2024)

Structured Mixture of Continuation-ratio Logits Models for Ordinal Regression
por: Kang, Jizhou, et al.
Publicado: (2022)

Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering
por: Wen, Wang, et al.
Publicado: (2025)

A Comparative Study of Imputation Methods for Multivariate Ordinal Data
por: Wongkamthong, Chayut, et al.
Publicado: (2020)

Functional-Ordinal Canonical Correlation Analysis With Application to Data from Optical Sensors
por: Patanè, Giulia, et al.
Publicado: (2025)

Clustering Longitudinal Ordinal Data via Finite Mixture of Matrix-Variate Distributions
por: Amato, Francesco, et al.
Publicado: (2024)

Regression Analysis of Ordinal Panel Count Data in Recurrent Medication Non-adherence
por: Zhou, Jiangjie, et al.
Publicado: (2025)

Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
por: Pyne, Arijit, et al.
Publicado: (2022)

A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model
por: Chen, Yehu, et al.
Publicado: (2025)

A Simulation Study to Compare Inferential Properties when Modelling Ordinal Outcomes: The Case for the (Plain but Robust) Proportional Odds Model
por: Inerle, Stefan, et al.
Publicado: (2026)

A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Scales
por: Wallin, Gabriel, et al.
Publicado: (2026)

Model-Assisted Bayesian Estimators of Transparent Population Level Summary Measures for Ordinal Outcomes in Randomized Controlled Trials
por: Turner, Lindsey E., et al.
Publicado: (2025)

Identification and Scaling of Latent Variables in Ordinal Factor Analysis
por: Merkle, Edgar C., et al.
Publicado: (2025)

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

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

Identifying Hierarchical Structures in Network Data
por: Regueiro, Pedro, et al.
Publicado: (2024)

Two-Phase Sampling Designs and Analysis Approaches for Ordinal Outcomes
por: Nam, Yunbi, et al.
Publicado: (2026)

Classifier Pooling for Modern Ordinal Classification
por: Rotenberg, Noam H., et al.
Publicado: (2026)

Conformal Risk Control for Ordinal Classification
por: Xu, Yunpeng, et al.
Publicado: (2024)

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

K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles
por: Patanè, Giulia, et al.
Publicado: (2026)

Bayesian Unit-level Modeling of Categorical Survey Data with a Longitudinal Design
por: Vedensky, Daniel, et al.
Publicado: (2025)

Distribution-free Conformal Prediction for Ordinal Classification
por: Chakraborty, Subhrasish, et al.
Publicado: (2024)

Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
por: Hepler, Staci, et al.
Publicado: (2025)

A Linear Relationship between Correlation and Cohen's Kappa for Binary Data and Simulating Multivariate Nominal and Ordinal Data with Specified Kappa Matrix
por: Sahu, Soumya, et al.
Publicado: (2024)

Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes
por: Wang, Xinru, et al.
Publicado: (2025)

Semiparametric estimation for multivariate Hawkes processes using dependent Dirichlet processes: An application to order flow data in financial markets
por: Jiang, Alex Ziyu, et al.
Publicado: (2025)