## Software for Data Analysis With Graphical Models (1995)

Venue: | In Fifth International Artificial Intelligence and Statistics Workshop, Ft Lauderdale, FL |

Citations: | 1 - 0 self |

### BibTeX

@INPROCEEDINGS{Buntine95softwarefor,

author = {Wray Buntine and H. Scott Roy},

title = {Software for Data Analysis With Graphical Models},

booktitle = {In Fifth International Artificial Intelligence and Statistics Workshop, Ft Lauderdale, FL},

year = {1995}

}

### OpenURL

### Abstract

Probabilistic graphical models are being used widely in artificial intelligence and statistics, for instance, in diagnosis and expert systems, as a framework for representing and reasoning with probabilities and independencies. They come with corresponding algorithms for performing statistical inference. This offers a unifying framework for prototyping and/or generating data analysis algorithms from graphical specifications. This paper illustrates the framework with an example and then presents some basic techniques for the task: problem decomposition and the calculation of exact Bayes factors. Other tools already developed, such as automatic differentiation, Gibbs sampling, and use of the EM algorithm, make this a broad basis for the generation of data analysis software. 1 Introduction This paper argues that the data analysis tasks of learning and knowledge discovery can be handled using graphical models. This meta-level use of graphical models was first suggested by Spiegelhalter an...