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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
2014
Highly Cited
2014
This paper compares precision field-strength measurements taken by a Rohde & Schwarz FSH-3 portable spectrum analyzer with… 
2013
2013
Genetic programming (GP) and its variants have been extensively applied for modeling of the stock markets. To improve the… 
Highly Cited
2011
Highly Cited
2011
D ysfunction o f brain dopam ine system s is involved in various neuropsychiatric disorders. C hallenge studies w ith dopam ine… 
Highly Cited
2005
Highly Cited
2005
In many speech and audio applications, it is first necessary to partition and classify acoustic events prior to voice coding for… 
Highly Cited
2003
Highly Cited
2003
An approach for an off-line segmentationand recognition system for actions in meeting scenarios is presented. The deployed system… 
Highly Cited
1999
Highly Cited
1999
  • W. ChouW. Reichl
  • 1999
  • Corpus ID: 6335425
In this paper, an approach of the penalized Bayesian information criterion (pBIC) for decision tree state tying is described. The… 
Review
1998
Review
1998
We investigate the Bayesian Information Criterion (BIC) for variable selection in models for censored survival data. Kass and… 
Highly Cited
1998
Highly Cited
1998
The problem of expressing a general 3-D magnetotelluric (MT) impedance tensor in the form of a 2-D tensor that has been distorted… 
1997
1997
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting… 
1994
1994
Forward displacement solutions are presented for a class of spatial parallel manipulators. In particular, considered are…