A collection of statistics algorithms from Mersenne twister generator to MCMC sampling.
License: Other
A collection of essential algorithms for Bayesian data constrained modelling. Includes Mersenne twister random number generator, common probability distributions, sampling statistics and quantiles, a kernel density estimator and a resumable Metropolis-Hastings MCMC sampler.
Documentation: http://predictionmachines.github.io/Angara.Statistics
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When the lower parameter bound set to non-positive value and the isLog set to true
e.g.
Parameters.Empty.Add("a",[|10.0|],0.0 ,20.0,isLog=true)
The following exeption is thrown
Unhandled Exception: System.ArgumentException: lower must not be greater than upper. Parameter name: lower
however actual reason for exception is that lower bound is out of log domain.
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