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» Analysis of simulation experiments by bootstrap resampling
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BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
13 years 5 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...
ICASSP
2008
IEEE
13 years 11 months ago
Bootstrap tests for the time constancy of multifractal attributes
On open and controversial issue in empirical data analysis is to decide whether scaling and multifractal properties observed in empirical data actually exist, or whether they are ...
Herwig Wendt, Patrice Abry
BMCBI
2010
116views more  BMCBI 2010»
13 years 5 months ago
permGPU: Using graphics processing units in RNA microarray association studies
Background: Many analyses of microarray association studies involve permutation, bootstrap resampling and crossvalidation, that are ideally formulated as embarrassingly parallel c...
Ivo D. Shterev, Sin-Ho Jung, Stephen L. George, Ko...
EOR
2006
113views more  EOR 2006»
13 years 5 months ago
Validation of regression metamodels in simulation: Bootstrap approach
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
Jack P. C. Kleijnen, David Deflandre
CSDA
2007
103views more  CSDA 2007»
13 years 5 months ago
Cluster-wise assessment of cluster stability
Stability in cluster analysis is strongly dependent on the data set, especially on how well separated and how homogeneous the clusters are. In the same clustering, some clusters m...
Christian Hennig