added collapsed mixture model that averages out the component assignments
use fully reolved names in macros
same with functions ... namespace and macros arrrrgghh
collapsed lda model works great ... good mixing
trying on larger dataset ... comparing to EM algorithm
impatient ... smaller is better
Merge branch 'master' of /tmp/SUNWut/mnt/bertschi/noname/GitRepos/ProbClojureNice
slightly larger example ... still not impressive
example of Bayesian polynomial fitting
sharing weights really mixes between models
not sure this really works ... reversible jumps???
tried different parametrizations for polynomials
Legendre polynomials ... somewhat better, but fitting of high-order poly is still difficult
new sampler core to allow for different sampling schemes such as simulated annealing
annealed importance sampling ... framework set up, but still needs testing
fitting mean of a Gaussian to test importance sampling
TODO: check formula and sampling
seems to work on Gaussian test case ... TODO: investigate more difficult distributions (long ridges)
estimate effective sample size
sampling now distinguishes between conditioned (likelihood) and unconditioned (prior) choice points