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… (More)
Wikipedia

Related topics

Related topics

21 relations
Akaike information criterionAutoregressive integrated moving averageBayes factorComputational phylogenetics
(More)

Broader (1)

Model selection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
A Widely Applicable Bayesian Information Criterion
A statistical model or a learning machine is called regular if the map taking a parameter to a probability distribution is one-to… (More)
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
2013
2013
A Bayesian information criterion for singular models
We consider approximate Bayesian model choice for model selection problems that involve models whose Fisher information matrices… (More)
Is this relevant?
2012
2012
Bayesian information criterion 1 Bayesian information criterion
In statistics, the Bayesian information criterion (BIC) or Schwarz criterion (also SBC, SBIC) is a criterion for model selection… (More)
Is this relevant?
2008
2008
Wilcoxon-type Generalized Bayesian Information Criterion
We develop a generalized Bayesian information criterion for regression model selection. The new criterion relaxes the usually… (More)
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
2008
2008
Knee Point Detection on Bayesian Information Criterion
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2008
Highly Cited
2008
Extended Bayesian Information Criteria for Model Selection with Large Model Spaces
The ordinary Bayesian information criterion is too liberal for model selection when the model space is large. In this paper, we… (More)
Is this relevant?
Highly Cited
2003
Highly Cited
2003
The Focussed Information Criterion
A variety of model selection criteria have been developed, of general and specific types. Most of these aim at selecting a single… (More)
  • table 4.1
  • figure 6.1
  • figure 6.2
  • table 7.1
Is this relevant?
Highly Cited
2002
Highly Cited
2002
The Variational Bayesian EM Algorithm for Incomplete Data : with Application to Scoring Graphical Model Structures
We present an efficient procedure for estimating the marginal likelihood of probabilistic models with latent variables or… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
1999
Highly Cited
1999
Improved speaker segmentation and segments clustering using the bayesian information criterion
Detection of speaker, channel and environment changes in a continuous audio stream is important in various applications (e.g… (More)
  • table 1
  • table 2
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Speaker , Environment and Channel Change Detection and Clustering via the Bayesian Information Criterion
In this paper, we are interested in detecting changes in speaker identity, environmental condition and channel condition; we call… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?