Practical Bayes for Beginners 2-4 February 2015

The International Environmetrics Society (TIES) and the Queensland University of Technology (QUT) will be jointly hosting two short courses on February 2-4, 2015 at the QUT Gardens Point Campus. The two courses are: • Advanced R for Environmental Scientists • Practical Bayes for Beginners. Places are limited and registrations will be processed in the order…

Harvey Goldstein Seminar 29th January 2015

Title:  Role of Statistics in Social Science: reflections on evidence and action. Date: Thursday, 29th January 2015; Time:  2:00pm – 4:00pm; Place: B Block, Level 2, Room B-240, QUT Kelvin Grove Campus RSVP: by 3pm Wed, 28th January: wilhelmina.ramakers@qut.edu.au Harvey is well known in the Bayesian world for his joint paper with David Spiegelhalter: League Tables and Their Limitations:…

BRAG Meeting – 8th January

WordPress Planning Meeting Time: Thursday 8th January, 13:00-14:00. Location: GP-S502. Come along and find out how to update your profile on the BRAG WordPress. Bring your laptop and you can begin updating your profile in the meeting with Ben and Nick around to help. We will also conduct some brain storming as to what content…

Bayes on the Beach 2014

Photos have now been added. November 10th – 12th 2014 Bayes on the Beach is an intentionally small international forum for discussing and exploring developments in Bayesian Statistics and its applications. This three day conference will take place at the Mantra Legends Hotel, Surfers Paradise, Queensland, Australia, and is designed with a diverse and interactive format…

sufficient statistic of the Potts model for various values of the inverse temperature

BRAG Meeting – 10 October 2013

In this week’s BRAG meeting (Thursday @ 11am in P504), Matt Moores will be presenting a talk in our series on Bayesian statistics & Big Data: Big data & doubly-intractable likelihoods The widespread availability of high-resolution imagery has created a need for computational methods that scale to millions of pixels. We review and evaluate three Bayesian algorithms…