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Document type:
Zeitschriftenaufsatz 
Author(s):
Drton, Mathias and Maathuis, Marloes H. 
Title:
Structure Learning in Graphical Modeling 
Abstract:
A graphical model is a statistical model that is associated with a graph whose nodes correspond to variables of interest. The edges of the graph reflect allowed conditional dependencies among the variables. Graphical models have computationally convenient factorization properties and have long been a valuable tool for tractable modeling of multivariate distributions. More recently, applications such as reconstructing gene regulatory networks from gene expression data have driven major advances i...    »
 
Keywords:
Bayesian network, graphical model, Markov random field, model selection, multivariate statistics, network reconstruction 
Dewey Decimal Classification:
510 Mathematik 
Journal title:
Annual Review of Statistics and Its Application 
Year:
2017 
Journal volume:
Year / month:
2017-03 
Quarter:
1. Quartal 
Month:
Mar 
Journal issue:
Pages contribution:
365-393 
Language:
en 
Publisher:
Annual Reviews 
E-ISSN:
2326-82982326-831X 
Date of publication:
07.03.2017