Context-specific independencies in hierarchical multinomial marginal models-Reference-Cited by-同舟云学术

Context-specific independencies in hierarchical multinomial marginal models

Published:2019-12-05 Issue:4 Volume:29 Page:767-786
ISSN:1618-2510
Container-title:Statistical Methods & Applications
language:en
Short-container-title:Stat Methods Appl

Author:

Nicolussi Federica^ORCID,Cazzaro Manuela

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s10260-019-00503-8.pdf

Reference27 articles.

1. Albert JH (1996) Bayesian selection of log-linear models. Can J Stat 24(3):327–347

2. Agresti A (2013) Categorical data analysis. Wiley, Hoboken

3. Bartolucci F, Colombi R, Forcina A (2007) An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints. Stat Sin 17:691–711

4. Bergsma WP, Rudas T (2002) Marginal models for categorical data. Ann Stat 30(1):140–159

5. Boutilier C, Friedman N, Goldszmidt M, Koller D (1996) Context-specific independence in Bayesian networks. In: Proceedings of the twelfth international conference on Uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc., pp 115–123

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Comparison Of Independence Structures Of Log-Linear Models;The Computer Journal;2023-06-09

2. Marginal Models: An Overview;Trends and Challenges in Categorical Data Analysis;2023

3. Context-specific independencies in stratified chain regression graphical models;Bernoulli;2021-05-01