The class of \textsc{cub} models: statistical foundations, inferential issues and empirical evidence
From MaRDI portal
Publication:2305021
DOI10.1007/s10260-019-00461-1zbMath1435.62242OpenAlexW2937095991MaRDI QIDQ2305021
Domenico Piccolo, Rosaria Simone
Publication date: 10 March 2020
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-019-00461-1
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Causal inference from observational studies (62D20)
Related Items
A mixture model to assess perception of discrimination on grounds of sexual orientation for policy considerations ⋮ Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model ⋮ Ordinal trees and random forests: score-free recursive partitioning and improved ensembles ⋮ Uncertainty diagnostics of binomial regression trees for ordered rating data ⋮ Dynamic modelling of price expectations and judgments ⋮ An accelerated EM algorithm for mixture models with uncertainty for rating data ⋮ On finite mixtures of discretized beta model for ordered responses
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Beta Regression for Modelling Rates and Proportions
- Modelling shelter choices in a class of mixture models for ordinal responses
- Gini heterogeneity index for detecting uncertainty in ordinal data surveys
- A comprehensive framework of regression models for ordinal data
- A composite likelihood inference in latent variable models for ordinal longitudinal responses
- On the identifiability of a mixture model for ordinal data
- Identifiability of a model for discrete frequency distributions with a multidimensional parameter space
- Preliminary estimators for a mixture model of ordinal data
- Identifiability of finite mixtures of multinomial logit models with varying and fixed effects
- Mixtures of distance-based models for ranking data
- A mixture model for preferences data analysis
- Regression models for multivariate ordered responses via the Plackett distribution
- Dealing with label switching in mixture models under genuine multimodality
- Estimation of parameters in the beta binomial model
- Generalization of likelihood ratio tests under nonstandard conditions
- Modeling rating data with nonlinear CUB models
- A mixture likelihood approach for generalized linear models
- The unimodal model for the classification of ordinal data
- A generalized framework for modelling ordinal data
- Generalized latent trait models
- A model-based fuzzy analysis of questionnaires
- Robustness issues for \textsc{cub} models
- Robust inference for ordinal response models
- Varying uncertainty in CUB models
- Mixture models for ordinal responses to account for uncertainty of choice
- Binomial Mixture Modeling of University Credits
- Inferential Issues on CUBE Models with Covariates
- A new residual for ordinal outcomes
- Latent Markov Models for Longitudinal Data
- Comparison of alternative imputation methods for ordinal data
- Exploring Voting Blocs Within the Irish Electorate
- Regression for Categorical Data
- Mixture models for rating data: the method of moments via Groebner bases
- Permutation Inference for a Class of Mixture Models
- HierarchicalCUBModels for Ordinal Variables
- Modelling ranks using the inverse hypergeometric distribution
- The EM Algorithm and Extensions, 2E
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- Regression, Discrimination and Measurement Models for Ordered Categorical Variables
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- A binomial latent trait model for the study of Likert-style attitude questionnaires
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
- Model-Based Gaussian and Non-Gaussian Clustering
- A proportional odds model with subject-specific effects for repeated ordered categorical responses
- Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
- Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
- Discrete Choice Methods with Simulation
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Log‐Linear Modeling
- Modeling Clustered Ordered Categorical Data: A Survey
- A Random-Effects Ordinal Regression Model for Multilevel Analysis
- Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach
- Analyzing bivariate ordinal data with CUB margins
- Investigating the determinants of job satisfaction of Italian graduates: a model-based approach
- A class of mixture models for multidimensional ordinal data
- Analysing sport data with clusters of opposite preferences
- Residual diagnostics for interpreting CUB models
- Contingency Table Analysis
- Bayesian variable selection in a class of mixture models for ordinal data: a comparative study
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Ordinal probability effect measures for group comparisons in multinomial cumulative link models
- Hierarchical marginal models with latent uncertainty
- Modelling Uncertainty and Overdispersion in Ordinal Data
- Linear Statistical Inference and its Applications
- Cumulative and CUB Models for Rating Data: A Comparative Analysis
