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BMCBI
2006
82views more  BMCBI 2006»
13 years 11 months ago
A method for computing the overall statistical significance of a treatment effect among a group of genes
Background: In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be ...
Robert R. Delongchamp, Taewon Lee, Cruz Velasco
ISQED
2007
IEEE
372views Hardware» more  ISQED 2007»
14 years 5 months ago
From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit
Problems in computational finance share many of the characteristics that challenge us in statistical circuit analysis: high dimensionality, profound nonlinearity, stringent accura...
Amith Singhee, Rob A. Rutenbar
ATAL
2010
Springer
13 years 12 months ago
Combining statistics and arguments to compute trust
We propose a method for constructing Dempster-Shafer belief functions modeling the trust of a given agent (the evaluator) in another (the target) by combining statistical informat...
Paul-Amaury Matt, Maxime Morge, Francesca Toni
ISBI
2002
IEEE
14 years 3 months ago
Segmentation-free statistical image reconstruction for polyenergetic X-ray computed tomography
This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical model that accounts for the polyenergetic X-ray source spectrum and the measure...
Idris A. Elbakri, Jeffrey A. Fessler
CORR
2008
Springer
72views Education» more  CORR 2008»
13 years 11 months ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik