Sciweavers

Share
9 search results - page 1 / 2
» Implicative Analysis for Multivariate Binary Data using an I...
Sort
View
ISIPTA
1999
IEEE
9 years 3 months ago
Implicative Analysis for Multivariate Binary Data using an Imprecise Dirichlet Model
Bayesian implicative analysis was proposed for summarizing the association in a 22 contingency table in terms possibly asymmetrical such as, e.g., presence of feature a implies, i...
Jean-Marc Bernard
ISIPTA
2003
IEEE
119views Mathematics» more  ISIPTA 2003»
9 years 4 months ago
Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
We consider the statistical problem of analyzing the association between two categorical variables from cross-classi´Čüed data. The focus is put on measures which enable one to st...
Jean-Marc Bernard
SADM
2010
141views more  SADM 2010»
8 years 6 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
IJUFKS
2006
64views more  IJUFKS 2006»
8 years 11 months ago
Cautious Analysis of Project Risks by Interval-Valued Initial Data
One of the most common performance measures in selection and management of projects is the Net Present Value (NPV). In the paper, we study a case when initial data about the NPV p...
Lev V. Utkin
BMCBI
2011
8 years 6 months ago
Multivariate analysis of microarray data: differential expression and differential connection
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
Harri T. Kiiveri
books