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CSDA
2010
157views more  CSDA 2010»
15 years 6 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser
CSDA
2010
108views more  CSDA 2010»
15 years 6 months ago
Assessing when a sample is mostly normal
The use of trimming procedures constitutes a natural approach to robustifying statistical methods. This is the case of goodness-of-fit tests based on a distance, which can be modi...
Pedro C. Alvarez-Esteban, Eustasio del Barrio, Jua...
JCM
2006
96views more  JCM 2006»
15 years 6 months ago
Distributed Algorithms for Dynamic Bandwidth Provisioning in Communication Networks
Efficient dynamic resource provisioning algorithms are necessary to the development and automation of Quality of Service (QoS) networks. The main goal of these algorithms is to off...
Jocelyne Elias, Fabio Martignon, Antonio Capone, G...
NECO
2008
108views more  NECO 2008»
15 years 6 months ago
Optimal Approximation of Signal Priors
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
Aapo Hyvärinen
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 10 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...