Inference for the analysis of ordinal data with spatio-temporal models

DOI10.1515/IJB-2019-0101MaRDI QIDQ6636055

F. Peraza-Garay, Graceila González Farías, J. U. Márquez-Urbina

Publication date: 12 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

maximum likelihood estimationdisease spreadordinal modelspartially ordered Markov models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Partially ordered models
• Image analysis with partially ordered Markov models.
• Multi-rubric models for ordinal spatial data with application to online ratings data
• Autologistic regression analysis of spatial-temporal binary data via Monte Carlo maximum likelihood
• Likelihood methods in statistics
• A Novel Approach for Markov Random Field With Intractable Normalizing Constant on Large Lattices
• Clustering on coloured lattices
• Markov Chain Monte Carlo for Autologistic Regression Models with Application to the Distribution of Plant Species
• Fully Bayesian Approach to Image Restoration with an Application in Biogeography

This page was built for publication: Inference for the analysis of ordinal data with spatio-temporal models

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6636055)