Skip to search formSkip to main contentSkip to account menu

Ancestral graph

In statistics and Markov modeling, an ancestral graph is a type of mixed graph to provide a graphical representation for the result of marginalizing… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
Causal discovery studies the problem of mining causal relationships between variables from data, which is of primary interest in… 
2015
2015
Discovering causal models hidden in the background of observational data has been a difficult issue. It is often necessary to… 
2014
2014
In modern life, interactions between human beings occur frequently in meeting discussions. Semantic knowledge of meetings can be… 
2013
2013
In the web usage mining process, the techniques of data mining are applied so as to discover the trends and the patterns in the… 
2012
2012
Robertson and Seymour (in work starting with [15]) demonstrated that any minor-ancestral graph property can be decided in… 
2009
2009
Gene conversion is a genetic mechanism by which one gene is ‘copied and pasted’ onto another gene, where the direction can be… 
2009
2009
Abstract An alternative way of constructing ancestral graphs, which is different from the coalescent-based approach, is proposed… 
2008
2008
‘Iterative conditional fitting’ is a recently proposed algorithm that can be used for maximization of the likelihood function in… 
2004
2004
For an ancestral graph with four vertices, we show that the associated binary model exhibits different properties than the… 
2002
2002
Ancestral graphs are a class of graphs that encode conditional independence relations arising in DAG models with latent and…