Bayesian Graphical Models for Predicting Errors in Databases-Reference-Cited by-同舟云学术

Bayesian Graphical Models for Predicting Errors in Databases

Published:1994 Issue: Volume: Page:123-131
ISSN:0930-0325
Container-title:Selecting Models from Data
language:
Short-container-title:

Author:

Madigan David,York Jeremy C.,Bradshaw Jeffrey M.,Almond Russell G.

Publisher

Springer New York

Link

http://link.springer.com/content/pdf/10.1007/978-1-4612-2660-4_13.pdf

Reference10 articles.

1. Bradshaw, J.M., Chapman, C.R., Sullivan, K.M., Boose, J.H., Almond, R.G., Madigan, D., Zarley, D., Gavrin, J., Nims, J. and Bush, N. (1993) “KS-3000: An application of DDUCKS to bone marrow transplant patient support,” Proc. 7th European Knowledge Acquisition for Knowledge-Based Systems Workshop (EKAW-93), Toulouse and Caylus, France, 51–14.

2. Dawid, A.R and Lauritzen, S.L. (1993) “Hyper-Markov laws in the statistical analysis of decomposable graphical models,” Ann. Stat, to appear.

3. Fiegl, R, Polissar, L., Lane, W.E. and Guinee, V. (1982) “Reliability of basic cancer patient data,” Stat. Med. 1, 191–204.

4. Madigan, D. and Raftery, A.E. (1991) “Model selection and accounting for model uncertainty in graphical models using Occam’s window.” Technical Report 213, Department of Statistics, University of Washington.

5. Madigan, D. and York, J. (1993) “Bayesian graphical models for discrete data.” Technical Report 259, Department of Statistics, University of Washington.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discussion of the Paper by Draper;Journal of the Royal Statistical Society: Series B (Methodological);1995-01