International Society for Bayesian Analysis

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.

International Society for Bayesian Analysis

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.

ISBA News

BNP13: Extended deadline for regular registration

Dear ISBA members, The 13th International Conference on Bayesian Nonparametrics (BNP13) will be held in Puerto Varas, Chile, from October 24 to October 28, 2022. Important information about the conference is available at the website https://midas.mat.uc.cl/bnp13/ and...

read more

The 6th EAC-ISBA conference calls for Poster Submission

The 6th EAC-ISBA conference will be held at Feng Chia University, Taiwan on July 8th-9th, 2022. The conference encourages the participation and academic exchange of scholars from around the world. Conference registration is free but required in order to take advantage...

read more

Block your calendar. BAYES2022 is back!

CALL FOR ABSTRACTS IS NOW OPEN The Organizing Committee of BAYES2022 is delighted to announce that the call for abstracts for the BAYES2022 conference is now open! Send us your abstract of max 300 words at bayes2022@lsacademy.com by June 30. Authors will be notified...

read more

Join or Renew

Donate

Learn