PGM sampling is the core of our Bayesian Risk Systems. Due to its flexibility, scalability, this module support any kind of node type and distributions. 


  • Multiple node types: Categorical, Discrete, Continuous, Mixture, Deterministic.

  • Exhaustive list of Discrete Distributions including: Binomial, Geometric, Hypergeometric, Logseries and Poisson.

  • Exhaustive list of Continuous Distributions including: Beta, Cauchy, Chisquare, Exponential,  Gamma, Gumbel, Laplace, Logistic, Lognormal, Non Central Chisquare, Normal, Pareto, Power, Rayleigh, Student-t, Triangular, Uniform, Vonmises, Wald and Weibull.

  • Expression Parser for custom formulas combining operations on nodes.

  • Support for hybrid networks.

  • Export sampled graph values.

  • Multi step simulation for hybrid networks

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