In computational statistics, reversible-jump Markov chain Monte Carlo is an extension to standard Markov chain Monte Carlo (MCMC) methodology thatâ€¦Â (More)

Semantic Scholar uses AI to extract papers important to this topic.

2008

2008

- Clemence Alasseur, Sandro Scalise, Lionel Husson, Harald Ernst
- IEEE Transactions on Wireless Communications
- 2008

A key issue in the design of a mobile satellite communication system is an adequate knowledge of the statistical behavior of theâ€¦Â (More)

Is this relevant?

2006

2006

- Sandro Scalise, Clemence Alasseur, Lionel Husson, Harald Ernst
- IEEE Globecom 2006
- 2006

A key issue in the design of a mobile satellite communication system is an adequate knowledge of the statistical behavior of theâ€¦Â (More)

Is this relevant?

2005

2005

- Sanghamitra Bandyopadhyay
- IEEE Transactions on Knowledge and Dataâ€¦
- 2005

In this paper, an approach for automatically clustering a data set into a number of fuzzy partitions with a simulated annealingâ€¦Â (More)

Is this relevant?

2004

2004

- By J. Vermaak, Catherine Andrieu, S. J. Godsill
- 2004

This paper addresses the problem of Bayesian inference in autoregressive (AR) processes in the case where the correct model orderâ€¦Â (More)

Is this relevant?

Highly Cited

2003

Highly Cited

2003

The major implementational problem for reversible jump Markov chain Monte Carlo methods is that there is commonly no natural wayâ€¦Â (More)

Is this relevant?

2003

2003

- Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty
- Signal Processing
- 2003

We consider the problem of constructing gene regulatory networks from expression data using the probabilistic-Booleannetworkâ€¦Â (More)

Is this relevant?

2001

2001

- Stephen J. Roberts, Christopher Holmes, Dave Denison
- ICANN
- 2001

Many problems in data analysis, especially in signal and image processing, require the unsupervised partitioning of data into aâ€¦Â (More)

Is this relevant?

1999

1999

- Peter Sykacek
- NIPS
- 1999

In this paper we will treat input selection for a radial basis function (RBF) like classifier within a Bayesian framework. Weâ€¦Â (More)

Is this relevant?

1998

1998

- Zoltan Kato
- 1998

This paper deals with the problem of unsupervised image segmentation. Our goal is to propose a method which is able to segment aâ€¦Â (More)

Is this relevant?

1998

1998

Markov Chain Monte Carlo (MCMC) samplers have been a very powerful methodology for estimating signal parameters. With theâ€¦Â (More)

Is this relevant?