ABCtoolbox was designed to perform Approximate Bayesian Computation (ABC) estimations using various recently published algorithms including MCMC without likelihood and Population Monte Carlo. Due to its potential to interact with almost any command line simulation software, ABCtoolbox can be used to study problems in different areas including genomics or population genetics.
Keywords for this software
References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
- Prangle, D.; Blum, M.G.B.; Popovic, G.; Sisson, S.A.: Diagnostic tools for approximate Bayesian computation using the coverage property (2014)
- Lenormand, Maxime; Jabot, Franck; Deffuant, Guillaume: Adaptive approximate Bayesian computation for complex models (2013)
- Ozcaglar, Cagri; Shabbeer, Amina; Vandenberg, Scott L.; Yener, Bülent; Bennett, Kristin P.: Epidemiological models of Mycobacterium tuberculosis complex infections (2012)
- Netto, Marco A.S.; Vecchiola, Christian; Kirley, Michael; Varela, Carlos A.; Buyya, Rajkumar: Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications (2011) ioport
- Wegmann, Daniel; Leuenberger, Christoph; Neuenschwander, Samuel; Excoffier, Laurent: Abctoolbox: a versatile toolkit for approximate Bayesian computations (2010) ioport