Local computation of influence propagation through Bayes linear belief networks
| dc.creator | Wilkinson, Darren J | |
| dc.date | 1996-09-02 | |
| dc.date.accessioned | 2026-07-07T09:07:34Z | |
| dc.date.available | 2026-07-07T09:07:34Z | |
| dc.description | In recent years there has been interest in the theory of local computation over probabilistic Bayesian graphical models. In this paper, local computation over Bayes linear belief networks is shown to be amenable to a similar approach. However, the linear structure offers many simplifications and advantages relative to more complex models, and these are examined with reference to some illustrative examples. | |
| dc.description | LaTeX2e, 11 pages. In submission. See http://www.ncl.ac.uk/~ndjw1/ Also available from http://www.ncl.ac.uk/~ndjw1/pub/djwlc.html For more information about Bayes linear methods, see the Bayes linear home page: http://fourier.dur.ac.uk:8000/stats/bayeslin/ | |
| dc.identifier | https://arxiv.org/abs/bayes-an/9609001 | |
| dc.identifier | http://arxiv.org/abs/bayes-an/9609001 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/150415 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.title | Local computation of influence propagation through Bayes linear belief networks | |
| dc.type | text |