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CSDA
2008
56views more  CSDA 2008»
15 years 2 months ago
Robust designs for series estimation
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
Holger Dette, Douglas P. Wiens
ICASSP
2008
IEEE
15 years 8 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
CSDA
2010
157views more  CSDA 2010»
15 years 2 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
ATAL
2003
Springer
15 years 7 months ago
Strategies for the Increased Robustness of Ant-Based Clustering
This paper introduces a set of algorithmic modifications that improve the partitioning results obtained with ant-based clustering. Moreover, general parameter settings and a self-...
Julia Handl, Joshua D. Knowles, Marco Dorigo
DISOPT
2008
99views more  DISOPT 2008»
15 years 2 months ago
Computing robust basestock levels
This paper considers how to optimally set the basestock level for a single buffer when demand is uncertain, in a robust framework. We present a family of algorithms based on decom...
Daniel Bienstock, Nuri Özbay