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» Model Selection for Small Sample Regression
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TIT
2011
134views more  TIT 2011»
13 years 2 months ago
Estimating Heavy-Tail Exponents Through Max Self-Similarity
: In this paper, a novel approach to the problem of estimating the heavy–tail exponent α > 0 of a distribution is proposed. It is based on the fact that block–maxima of siz...
Stilian Stoev, George Michailidis, Murad S. Taqqu
BMCBI
2011
12 years 11 months ago
Robust joint analysis allowing for model uncertainty in two-stage genetic association studies
Background: The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex di...
Dongdong Pan, Qizhai Li, Ningning Jiang, Aiyi Liu,...
BIOCOMP
2008
13 years 9 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
BMCBI
2005
141views more  BMCBI 2005»
13 years 7 months ago
Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
Background: Type 1 diabetes mellitus (T1DM) is a autoimmune disease caused by a long-term negative balance between immune-mediated beta-cell damage and beta-cell repair/regenerati...
Nils E. Magnusson, Alessandra K. Cardozo, Mogens K...
NECO
2011
13 years 2 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli