EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes. Enables launching a series of simulations of a computer code from the R session, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Five sequential sampling schemes and three coupled-to-MCMC schemes are implemented.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Dennis Prangle: gk: An R Package for the g-and-k and generalised g-and-h Distributions (2017) arXiv
- Albert, Carlo; Künsch, Hans R.; Scheidegger, Andreas: A simulated annealing approach to approximate Bayes computations (2015)
- Jabot, Franck: Why preferring parametric forecasting to nonparametric methods? (2015)
- Lenormand, Maxime; Jabot, Franck; Deffuant, Guillaume: Adaptive approximate Bayesian computation for complex models (2013)