This C++ version of BAT is still being maintained, but addition of new features is unlikely. Check out our new incarnation, BAT.jl, the Bayesian analysis toolkit in Julia. In addition to Metropolis-Hastings sampling, BAT.jl supports Hamiltonian Monte Carlo (HMC) with automatic differentiation, automatic prior-based parameter space transformations, and much more. See the BAT.jl documentation.

1st BAT workshop

January 14, 2009
Max-Planck-Institut für Physik, Munich

First BAT workshop will consist of two sessions. The morning session will cover general introduction to probability and statistics as well as a description of BAT and examples. The afternoon session will be devoted to more detailed discussions on experiences with BAT, contributed talks on specialized topics, and the creation of a task list for further developments.

Preliminary program:

Morning session - Hörsaal - General audience
10:00 - 10:45	Learning from Data and Bayesian Analysis	A. Caldwell
10:45 - 11:30	The Basics of the Bayesian Analysis Toolkit	K. Kröninger
11:30 - 12:15	Examples of the use of BAT	D. Kollár
12:30 - 14:00	Lunch
Afternoon session - Room 313 - Detailed discussions
14:00 - 16:00	Discussion on the use of BAT and contributed talks
16:00 - 17:00	Tasklist and wishlist for BAT