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Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs *

Guido Consonni and Luca La Rocca

in Bayesian Statistics 9

Published in print:
2011
Published Online:
January 2012
ISBN:
9780199694587
eISBN:
9780191731921
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199694587.003.0004
Subject:
Mathematics, Probability / Statistics

We propose a new method for the objective comparison of two nested models based on non‐local priors. More specifically, starting with a default prior under each of the two models, we construct a ... More


Network Inference in Breast Cancer with Gaussian Graphical Models and Extensions

Marine Jeanmougin, Camille Charbonnier, Mickaël Guedj, and Julien Chiquet

in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

Published in print:
2014
Published Online:
December 2014
ISBN:
9780198709022
eISBN:
9780191779619
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198709022.003.0005
Subject:
Mathematics, Probability / Statistics, Biostatistics

Clustering genes with high correlations will group genes with close expression profiles, defining clusters of co-expressed genes. However, such correlations do not provide any clue on the chain of ... More


Graphical Models and Multivariate Analysis of Microarray Data

Harri Kiiveri

in Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics

Published in print:
2014
Published Online:
December 2014
ISBN:
9780198709022
eISBN:
9780191779619
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198709022.003.0003
Subject:
Mathematics, Probability / Statistics, Biostatistics

The usual analysis of gene expression data ignores the correlation between gene expression values. Biologically, this assumption is unreasonable. The approach presented in this chapter allows for ... More


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