Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions

Cumulative Distribution Networks: Inference, Estimation and Applications of Graphical Models for Cumulative Distribution Functions

Show other versions (1)

This thesis presents a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks (CDNs). Unlike graphical models for probability density and mass functions, in a CDN, the marginal probabilit...

Full description

Bibliographic Details
Main Author: Huang, Jim C.
Other Authors: Frey, Brendan J.
Language:en_ca
Published: 2009
Subjects:
Graphical models
Cumulative distribution function
Inference
Message-passing
Learning to rank
Information retrieval
Computational biology
Bioinformatics
Genomics
Extreme value distribution
microRNA
Gene regulation
Copula
Online Access:http://hdl.handle.net/1807/19194

Internet

http://hdl.handle.net/1807/19194

Similar Items