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

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
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
We consider approximate Bayesian model choice for model selection problems that involve models whose Fisher information matrices… (More)
Is this relevant?
2012
2012
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
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
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
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
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
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
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
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?