| PDF |
abstract. | <- UK | Canada -> | erice.ps.gz.
- ` Introduction to Monte Carlo methods
A review paper in the proceedings of an Erice summer school, ed. M.Jordan.
| PDF |
| ps mirror, Canada. abstract |
- ` Probabilistic Networks: New Models and New Methods
A paper describing an interpolation model with input-dependent
noise level, implemented using `BUGS'. This paper is for ICANN95 in Paris.
For more information about the BUGS program, see ftp.mrc-bsu.cam.ac.uk.
| PDF |
| ps mirror, Canada |
- Inferring the distance to the Virgo cluster from Cepheid data
using the BUGS program. (Bayesian inference using Gibbs Sampling).
Currently this sketched report uses mock data.
- Infrared magnitude-redshift relations for
luminous radio galaxies
K. J. Inskip, P. N. Best, M. S. Longair, and D. J. C. MacKay
This is an electronic version of an article published in Monthly Notices of the Royal Astronomical Society:
complete citation information for the final version of the paper, as published
in the print edition of Monthly Notices of the Royal Astronomical Society, is available on the Blackwell Science
Synergy online delivery service, accessible via the journal's Website
Exact sampling from antiferromagnetic spin systems
- Ryan Patterson, Andrew Childs, Radford Neal and David MacKay.
This paper was published in Phys Rev E vol 63, 036113, under the title
Exact Sampling from nonattractive distributions using summary states.
abstract. | <- UK | Canada -> | slice.ps.gz
- ` Slice Sampling - a Binary Implementation
By John Skilling and David MacKay
To appear in Annals of Statistics
- ` Nested Sampling - a tutorial
- MCMC for doubly-intractable distributions.
David J.C. MacKay.
Proceedings of the 22nd Annual Conference on Uncertainty in Artificial Intelligence (UAI), 2006. [PDF, DjVu, JavaDjVu].
- Nested sampling for Potts Models.
David J.C. MacKay,
John Skilling. Advances in Neural Information Processing Systems
18, 2006. [PDF, DjVu, JavaDjVu]
The Inference Group is supported by the Gatsby Foundation
and by a partnership award from IBM Zurich Research Laboratory
David J.C. MacKay
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