Multinomial-Poisson models subject to inequality constraints

DOI10.1177/1471082X0800900303OpenAlexW2085756481MaRDI QIDQ4970919

Manuela Cazzaro, Roberto Colombi

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x0800900303

zbMATH Keywords

marginal modelsgeneralized odds ratiosconstrained statistical inferencemultivariate logit modelsmultinomial-Poisson homogeneous models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Monotone dependence in graphical models for multivariate Markov chains ⋮ Graphical models for multivariate Markov chains ⋮ Monotone Graphical Multivariate Markov Chains ⋮ Two Bayesian/frequentist challenges for categorical data analyses

Uses Software

• R

Cites Work

• Modelling two way contingency tables with recursive logits and odds ratios
• Maximum likelihood inference for log-linear models subject to constraints of double monotone dependence
• Order-restricted inference for monotone trend alternatives in contingency tables.
• Marginal models for categorical data
• Multinomial-Poisson homogeneous models for contingency tables.
• Marginal regression models for the analysis of positive association of ordinal response variables
• Constrained Statistical Inference
• Estimation When a Parameter is on a Boundary
• A Unified Approach to Likelihood Inference on Stochastic Orderings in a Nonparametric Context
• Linear Statistical Inference and its Applications
• Homogeneous Linear Predictor Models for Contingency Tables
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