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- Why Use Bayes Nets?
- AUAI Tutorials and Survey Sources
- Related Information Servers
- UAI Related Companies and Research Groups

- Inference in Bayesian Networks, a tutorial by Bruce
**D'Ambrosio**and Bob**Fung**is available through Bruce's home page, given at the Summer Institute on AI and Probability, 1994 - An Introduction to Quasi-Bayesian Theory, Lower Probability, Choquet Capacities and Related Models, by Fabio
**Cozman**. -
*Decision Theoretic Planning and Markov Decision Processes*available under Introductory Material through Tom**Dean's**Homepage. See also Learning Dynamical Systems: A Tutorial. - Reasoning about Uncertainty: A Logical Approach, a tutorial paper from form, from Joe
**Halpern's**homepage. - A Tutorial on Learning Bayesian Networks and other articles from David
**Heckerman's**Homepage - NIPS 95 Workshop on Learning in Bayesian Networks and Other Graphical Models held in Vail, Colorado, Dec. 1995. Web page maintained by David Heckerman, Master of Ceremonies.
- A classic tutorial on "Decision Theory in Expert Systems and Artificial Intelligence" by Eric Horvitz, Jack Breese, and Max Henrion. Among other resources and pointers on Eric
**Horvitz**'s home page. - Special Issue on Uncertainty in AI,
*Communications of the ACM*, March 1995- Volume 38, Number 3. - Probability Theory As Extended Logic about the theories of E.T.
**Jaynes**. A book under development by Jaynes, the Bayesian physisist and advocate of the Maximum Entropy principle, with some links to readings available online. - Why the logistic function? by M.
**Jordan**. A tutorial discussing probabilistic approaches to neural networks, and their relationship with others. Other tutorials and papers by Jordan are in the same directory. - Bayes Factors and Model Uncertainty, by Robert
**Kass**and Adrian**Raftery**, to appear in JASA. - Model Confidence by Kathryn Blackmond
**Laskey**. Postscript and HTML for an introduction to perspectives on how to treat confidence in models. - Bayesian Inference in Astrophysics by Tom
**Loredo**. Tutorial introduction to Bayesian statistics. - A Short Course in Information Theory, 8 lectures by David
**MacKay**, HTML linked to Postscript. - Decision Analytic Networks in Artificial Intelligence by
**Matzkevich**and**Abramson**in the January 1995 issue of Management Science (41(1):1-22) - Probabilistic Inference using Markov Chain Monte Carlo Methods by Radford
**Neal** -
*An Introduction to Minimum Message Length Inference*, and other tutorials comparing MML, MDL and Bayesian inference at Minimum Message Length Encoding page - Causal diagrams for empirical research, Causation, action, and counterfactuals, From Bayesian Networks to Causal Networks and other articles in the UCLA Statistical Series, i.e., Technical Reports by
**Pearl**and others. - Tutorial on Diagnosis by Mark
**Peot**and Greg**Provan**, given at the Summer Institute on AI and Probability, 1994. - Bayesian Model Selection in Sociology, by Adrian
**Raftery**(with Discussion by Andrew Gelman & Donald Rubin, and Robert Hauser, and a Rejoinder) - Probabilistic Independence Networks for Hidden Markov Models, by Padhraic
**Smyth**, David Heckerman, and Michael Jordan. Tech. Report from 3 institutions. - Abstraction in Probabilistic Reasoning by Michael
**Wellman**, given at the Summer Institute on AI and Probability, 1994

- BayesNet pages at Air Force Inst. of Technology
- Decision/Risk Analysis
- International Society for Bayesian Analysis
- Knowledge Discovery Mine for information on knowledge discovery.
- Machine Learning Information Services
- Minimum Message Length Encoding
- Pattern Recognition Information
- Software for Belief Networks maintained by Russell Almond.
- Special issue on Real-World Applications of Uncertain Reasoning,
*Communications of the ACM*, March 1995, based in part on UAI-93. - The Society For Artificial Intelligence and Statistics
- SIGART Electronic Information Service
- Statistics servers maintained at Institute of Statistics and Decision Sciences, Duke Univ
- Statlib Index a system for distributing statistical software, datasets, and information maintained at CMU.
- LERPIA (Electronic List on Probabilistic Reasoning in Artificial Intelligence) to coordinate the Spanish researchers with special interest on Bayesian networks.
- ASA Section on Bayesian Statistical Sciences
- Decision Analysis Society of INFORMS.

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