This package connects rhine to the monad-bayes library for probabilistic programming and inference.
It provides:
Some standard stochastic processes such as Brownian Motion and Levý processes
A particle filter inference method called Sequential Monte Carlo
This allows you to do interactive probabilistic (i.e. involving randomness) programs,
and at the same time perform online inference, or realtime machine learning.
An example for this is given in rhine-bayes/app/Main.hs,
where inference is performed both on simulated values as well as external input given by the user.
Changes
Revision history for rhine-gloss
1.3
Dropped dunai dependency in favour of state automata.
See the versions readme for details.
