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Bayesian information criterion

Known as: BIC (statistics), Bayesian information criteria, Schwarz Criterion 
In statistics, the Bayesian information criterion (BIC) or Schwarz criterion (also SBC, SBIC) is a criterion for model selection among a finite set… 
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Papers overview

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Highly Cited
2008
Highly Cited
2008
Association mapping is a powerful strategy for identifying genes underlying quantitative traits in plants. We have assembled and… 
Highly Cited
2007
Highly Cited
2007
We propose a method of least squares approximation (LSA) for unified yet simple LASSO estimation. Our general theoretical… 
Review
2007
Review
2007
There have been extensive discussions about whether emotional memories contain more accurate detail than nonemotional memories do… 
Highly Cited
2005
Highly Cited
2005
Abstract.The CSU Face Identification Evaluation System includes standardized image preprocessing software, four distinct face… 
Highly Cited
2004
Highly Cited
2004
The analysis of data containing repeated observations measured on animals (experimental unit) allocated to different treatments… 
Highly Cited
2003
Highly Cited
2003
The CSU Face Identification Evaluation System provides standard face recognition algorithms and standard statistical methods for… 
Highly Cited
2002
Highly Cited
2002
This paper presents \bic (Border/Interior pixel Classification), a compact and efficient CBIR approach suitable for broad image… 
Review
1999
Review
1999
Two experiments were embedded in a 1997 telephone survey of U.S. households to assess possible differences in how heterosexuals… 
Highly Cited
1995
Highly Cited
1995
We take a model-selection approach to the question of whether forward-interest rates are useful in predicting future spot rates…