earth, mast, pills

ISBA Home News Publications > ISBA business > Prizes & awards > ISBA Forums > Bayesian resources > ISBA archives > ISBA Membership >


International Society for Bayesian Analysis (ISBA)

2012 ISBA World Meeting

Mark your calendars for the next ISBA World Meeting, June 25 - 29, 2012, in Kyoto, Japan.

ISBA Bulletin

The March 2011 issue of the ISBA Bulletin is now available.

Upcoming Meetings

Check out upcoming ISBA co-sponsored and endorsed meetings.

2011 ISBA Awards

The Prize Committee of ISBA is pleased to call for submissions for the 2011 Savage Awards, Mitchell Prize and DeGroot Prize. The deadline for submissions, which can be made online, for all three awards is May 31, 2011.

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.

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 methods, with thanks to Kate Cowles, Rob Kass, and Tony O'Hagan, click here. A brief explanation of the layout of this website is given in more detail here.

Acknowledgements

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.