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Titel:

Structure Learning in Graphical Modeling

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Drton, Mathias and Maathuis, Marloes H.
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...     »
Stichworte:
Bayesian network, graphical model, Markov random field, model selection, multivariate statistics, network reconstruction
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Annual Review of Statistics and Its Application
Jahr:
2017
Band / Volume:
4
Jahr / Monat:
2017-03
Quartal:
1. Quartal
Monat:
Mar
Heft / Issue:
1
Seitenangaben Beitrag:
365-393
Sprache:
en
Volltext / DOI:
doi:10.1146/annurev-statistics-060116-053803
Verlag / Institution:
Annual Reviews
E-ISSN:
2326-82982326-831X
Publikationsdatum:
07.03.2017
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