Year: 2018
Type: preprint
Abstract: This Chapter, "A Guide to General-Purpose ABC Software", is to appear in the forthcoming Handbook of Approximate Bayesian Computation (2018). We present general-purpose software to perform Approximate Bayesian Computation (ABC) as implemented in the R-packages abc and EasyABC and the c++ program ABCtoolbox. With simple toy models we demonstrate how to perform parameter inference, model selection, validation and optimal choice of summary statistics. We demonstrate how to combine ABC with Markov Chain Monte Carlo and describe a realistic population genetics application.
Source: arXiv (Cornell University)
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2808734055