# Bayesian information criterion

## Papers overview

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Highly Cited

2013

Highly Cited

2013

- Journal of Machine Learning Research
- 2013

A statistical model or a learning machine is called regular if the map taking a parameter to a probability distribution is one-toâ€¦Â (More)

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2013

2013

- 2013

We consider approximate Bayesian model choice for model selection problems that involve models whose Fisher information matricesâ€¦Â (More)

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2012

2012

- 2012

In statistics, the Bayesian information criterion (BIC) or Schwarz criterion (also SBC, SBIC) is a criterion for model selectionâ€¦Â (More)

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2008

2008

- 2008

We develop a generalized Bayesian information criterion for regression model selection. The new criterion relaxes the usuallyâ€¦Â (More)

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2008

2008

- 20th IEEE International Conference on Tools withâ€¦
- 2008

The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and itâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- 2008

The ordinary Bayesian information criterion is too liberal for model selection when the model space is large. In this paper, weâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- 2003

A variety of model selection criteria have been developed, of general and specific types. Most of these aim at selecting a singleâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- 2002

We present an efficient procedure for estimating the marginal likelihood of probabilistic models with latent variables orâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- EUROSPEECH
- 1999

Detection of speaker, channel and environment changes in a continuous audio stream is important in various applications (e.gâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- 1998

In this paper, we are interested in detecting changes in speaker identity, environmental condition and channel condition; we callâ€¦Â (More)

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