The Bayesian Inference Engine (BIE)
A new Bayesian inference tool (BIE) has been published on astro-ph today (http://arxiv.org/abs/1203.3816). It has several advanced MCMC algorithms to sample the posterior and some stand alone programs to test a convergence and to compute a marginal likelihood for Bayesian model selection. It is designed for a general purpose Bayesian inference and is possible to add any user likelihood module to solve one’s own problem. It has potentially many interesting applications not limited to astronomy. Two case studies (Bayesian semi-analytic galaxy formation model and GALPHAT) have been introduced in this paper.