 Thomas Bayes |
Bayesian Inference is a paradigm in Statistics that attempts to utilize all available information in decision-making. Prior knowledge coming from experience, expert judgment, or previously collected data is used with current data to characterize the current state of knowledge. These methods allow the use of models of complex physical phenomena that were previously too difficult to estimate. Bayesian methods offer a means of more fully understanding issues that are central to many practical problems by allowing researchers to build integrated models of behavior that can be estimated with limited amounts of data. Read more ... |
| The Bayes Rule: |
|
|
This group will meet on a regular basis to discuss and work on statistical
problems of mutual interest, that involves Bayesian Inference. The topics would
range from very applied in practice to theoretical aspects of Bayesian inference.
Participants will read articles, and study current methodological developments in the area of Bayesian inference. The relevant articles will be posted at this site from time to time. This site will also list the publications that would result from this forum on Bayesian Statistics. Meetings will be informal, and open to all interested participants
|