Approximate Bayesian Computing with Julia
Author eford
2 Stars
Updated Last
4 Years Ago
Started In
August 2018

ApproximateBayesianComputing (ABC)

Build Status

This package implements basic algorithms fo Approximate Bayesian Computing (ABC) in Julia.
Currently, it implements a single algorithm, ABC-PMC based on Beaumont et al. 2002 via abc_pmc_plan_type.

To Do

  • Write more realistic examples, before finalizing interface
  • Develope test cases
  • Generalize to work with an abstract abc_plan_type
  • Parallelize code
  • Expand documentation
  • Try to move GaussianMixtureModelCommonCovar to Distributions package
  • Look into moving cov_weighted, ess (effective sample size) and calc_dist_ks to more general pacakges
  • Implement additional ABC algorithms