0.6.2-dev0
FORCES
FORtran lib for Comp. Env. Sys.
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mo_mcmc.F90 File Reference

Monte Carlo Markov Chain sampling. More...

Go to the source code of this file.

Data Types

interface  mo_mcmc::mcmc
 This module is Monte Carlo Markov Chain sampling of a posterior parameter distribution (measurement errors are either known or modeled). More...
 
interface  mo_mcmc::mcmc_stddev
 This module is Monte Carlo Markov Chain sampling of a posterior parameter distribution (measurement errors are neither known nor modeled). More...
 

Modules

module  mo_mcmc
 Monte Carlo Markov Chain sampling.
 

Functions/Subroutines

subroutine mo_mcmc::mcmc_dp (eval, likelihood, para, rangepar, mcmc_paras, burnin_paras, seed_in, printflag_in, maskpara_in, restart, restart_file, tmp_file, loglike_in, paraselectmode_in, iter_burnin_in, iter_mcmc_in, chains_in, stepsize_in)
 
subroutine mo_mcmc::mcmc_stddev_dp (eval, likelihood, para, rangepar, mcmc_paras, burnin_paras, seed_in, printflag_in, maskpara_in, tmp_file, loglike_in, paraselectmode_in, iter_burnin_in, iter_mcmc_in, chains_in, stepsize_in)
 
real(dp) function mo_mcmc::pargen_dp (old, dmax, omin, omax, rn, inbound)
 
real(dp) function mo_mcmc::pargennorm_dp (old, dmax, omin, omax, rn, inbound)
 
recursive subroutine mo_mcmc::generatenewparameterset_dp (paraselectmode, paraold, truepara, rangepar, stepsize, save_state_2, save_state_3, paranew, changepara)
 

Detailed Description

Monte Carlo Markov Chain sampling.

This module is Monte Carlo Markov Chain sampling of a posterior parameter distribution.

Authors
Maren Goehler, Juliane Mai
Date
Aug 2012

Definition in file mo_mcmc.F90.