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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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Related topics

Related topics

21 relations
Akaike information criterionAutoregressive integrated moving averageBayes factorComputational phylogenetics

Broader (1)

Model selection

Papers overview

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Highly Cited
2014
Highly Cited
2014
Comparison of Longley-Rice, ITU-R P.1546 and Hata-Davidson propagation models for DVB-T coverage prediction
This paper compares precision field-strength measurements taken by a Rohde & Schwarz FSH-3 portable spectrum analyzer with… 
2013
2013
Empirical analysis of model selection criteria for genetic programming in modeling of time series system
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
Gene-environment interaction and intermediate phenotypes in alcohol dependence.
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
Efficient audio stream segmentation via the combined T/sup 2/ statistic and Bayesian information criterion
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
Action Recognition in Meeting Scenarios using Global Motion Features
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
Decision tree state tying based on penalized Bayesian information criterion
  • W. ChouW. Reichl
  • IEEE International Conference on Acoustics…
  • 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
Bayesian Information Criterion for Censored Survival Models 1
We investigate the Bayesian Information Criterion (BIC) for variable selection in models for censored survival data. Kass and… 
Highly Cited
1998
Highly Cited
1998
Magnetotelluric tensor decomposition: Part I, Theory for a basic procedure
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
Bayesian Approaches to Segmenting A Simple Time Series
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting… 
1994
1994
Complete forward displacement solutions for a class of three-branch parallel manipulators
Forward displacement solutions are presented for a class of spatial parallel manipulators. In particular, considered are… 
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