Welcome to ISBA!
The International Society for Bayesian Analysis (ISBA) was founded in 1992 to promote the development and application of Bayesian analysis useful in the solution of theoretical and applied problems in science, industry and government. By sponsoring and organizing meetings, publishing the electronic journal of Bayesian statistics Bayesian Analysis, and other activities ISBA provides a focal point for those interested in Bayesian analysis and its applications. For an interesting historical perspective, Arnold Zellner recaps the beginnings of ISBA.
ISBA Section Meetings:
- International Workshop on Bayesian Model Selection (Objective Bayes) January 14- 18, 2013
- BAYSM - BAyesian Young Statistician Meeting (J-ISBA) June 5-6, 2013
- 9th Conference on Bayesian Nonparametrics (Bayesian Nonparametrics) June 10-14, 2013
- O-Bayes 2013 (Objective Bayes) December 15-19, 2013
- EFaB@ Bayes 250 Workshop (Economics, Finance and Business) December 15-17, 2013
- MCMSki IV (Bayesian Computation) January 6-8, 2014
ISBA Regional Meetings
- International Workshop/Conference on Bayesian Theory and Applications (Indian Chapter), January 06-13, 2013
- ISBASA (South African Chapter) June 26-28, 2013
- Joint Statistics Meetings Montreal, Candada August 3-8, 2013
ISBA World Meeting
What is Bayesian Analysis?
Scientific inquiry is an iterative process of integrating and accumulating information. Investigators assess the current state of knowledge regarding the issue of interest, gather new data to address remaining questions, and then update and refine their understanding to incorporate both new and old data. Bayesian inference provides a logical, quantitative framework for this process. It has been applied in a multitude of scientific, technological, and policy settings.
"Bayesian" refers to the Reverend Thomas Bayes. The development of probability theory in the early 18th century arose to answer questions in gambling, and to underpin the new and related ideas of insurance. A problem arose, known as the question of inverse probability: the mathematicians of the time knew how to find the probability that, say, 4 people aged 50 die in a given year out of a sample of 60 if the probability of any one of them dying was known. But they did not know how to find the probability of one 50-year old dying based on the observation that 4 had died out of 60. The answer was found by Thomas Bayes, and was published in 1763 (the year after his death). Like many educated men of his time, Bayes was both a clergyman and an amateur scientist/mathematician. His solution, known as Bayes' theorem, underlies, and gave its name to, the modern Bayesian approach to the analysis of all kinds of data. For more background on Bayesian Inference and Methods, Read on ...
This website has evolved over the years. For initial work, we acknowledge the important contributions of Carlos Rodriguez, Susie Bayarri and Arnold Zellner. For over 10 years from 1997, Mike Evans was Webmaster. In 2007, the site was redesigned by Peter Green and Robert Wolpert. In 2011, the website was redesigned using Drupal by Merlise Clyde, Chris Hans, and Lance Brown. Please direct any questions about membership, website, bulletin submissions, conference planning using the forms under Contact Us