For over three decades, the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications. The workshop invites work on all aspects of probabilistic inference, including novel techniques and applications, and work that sheds new light on the foundations of inference. In previous workshops, areas of application have included astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, engineering, fluid mechanics, genetics, geophysics, machine learning, material science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics and robotics. Bayesian computational techniques such as Markov chain Monte Carlo sampling have been regular topics, as are approximate inferential methods. Foundational issues involving probability theory and information theory, and the novel application of inference to illuminate the foundations of physical theories, have also been of keen interest.

33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (“MaxEnt 2013”) will be held in Canberra, ACT, Australia, over 15 - 20 December 2013. This will be the first MaxEnt meeting held in Australia. This meeting will also feature special sessions on:
  • Bayesian inference in cosmology and astronomy;
  • MaxEnt analyses of non-equilibrium, dissipative flow systems (including connections to minimum and maximum entropy production principles); and
  • MaxEnt prediction in population ecology and biogeography.
The workshop will include a one-day tutorial session, invited papers, contributed papers, poster presentations and breakout group discussions. Contributed papers related to the above topics are being solicited. Especially encouraged are papers whose content is novel, either as to approach or area of application. Abstracts (one page of about 400 words) of the proposed papers should be submitted via this website (link coming soon!). Selected papers will be edited by the organising committee and published in an edited proceedings.

Canberra is the leading intellectual centre in Australia, hosting the Australian National University (consistently ranked as the leading university in Australia, and within the top 50 in the world) and the Canberra campus of The University of New South Wales (one of the highest ranked Australian and Asian universities in science and engineering). The city is relatively small (population ~350,000) but contains many of the nation’s leading attractions, including the Australian Institute of Sport, Australian Museum, Australian War Memorial, National Gallery of Australia, National Library of Australia, National Portrait Gallery, Parliament House and Questacon (The National Science and Technology Centre). Canberrans are relatively young, highly mobile and well educated, with over 30% possessing a Bachelor’s or higher university degree. The city contains and is surrounded by green spaces (farmland, forestry land and protected bushland), offering a range of easy to rugged walking and cycling tracks, panoramic vistas and abundant wildlife (especially kangaroos).

Organising Committee


Robert K. Niven, UNSW, Canberra, Australia (MaxEnt theory and practice, especially to flow systems and networks)
Barrie Stokes, University of Newcastle, Australia (Bayesian statistician in public health)
Brendon Brewer, University of Auckland, New Zealand (Bayesian statistician in astronomy and astrophysics)
Kamran Shafi, UNSW, Canberra, Australia (Predictive analytics and business intelligence, especially computational intelligence).
David Paull, UNSW Canberra, Australia (Biogeography, ecology and conservation of fauna, including prediction of species distributions under spatial constraints)

International Scientific Advisory Committee


Ariel Caticha, University at Albany (SUNY), USA.
Julian Center, Autonomous Exploration, USA.
Adom Giffin, Mathematics & Computer Science, Clarkson University, USA.
Paul M. Goggans, University of Mississippi, USA.
Philip Goyal, Dept. of Physics, University at Albany (SUNY).
Kevin H. Knuth, University at Albany (SUNY), USA.
Ali Mohammad-Djafari, University of Paris-Sud, France
Carlos Rodriguez, University at Albany (SUNY), USA.
John Skilling, MaxEnt Data Consultants
Udo von Toussaint,
Max-Planck-Institut für Plasmaphysik, Garching, Germany