Package trunk :: Package BIP :: Package Bayes :: Package Samplers :: Module MCMC
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Module MCMC

source code

Module implementing MCMC samplers


Date: $09/12/2009 10:44:11$

Author: fccoelho

Classes [hide private]
  _Sampler
Base classe for all samplers Holds common logic and
  Metropolis
Standard random-walk Metropolis Hastings sampler class
  Dream
DiffeRential Evolution Adaptive Markov chain sampler
Functions [hide private]
 
timeit(method)
Decorator to time methods
source code
 
model_as_ra(theta, model, phinames)
Does a single run of self.model and returns the results as a record array
source code
Variables [hide private]
  logger = logging.getLogger('BIP.MCMC')