%0 Journal Article %1 wegmann_abctoolbox:_2010 %A Wegmann, Daniel %A Leuenberger, Christoph %A Neuenschwander, Samuel %A Excoffier, Laurent %D 2010 %J BMC Bioinformatics %K Approximate Bayesian Software inference, simulations, %N 1 %P 116 %R 10.1186/1471-2105-11-116 %T ABCtoolbox: a versatile toolkit for approximate Bayesian computations %U http://www.biomedcentral.com/1471-2105/11/116 %V 11 %X The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayesian inference has therefore been limited to very simple models. The situation changed recently with the advent of Approximate Bayesian Computation (ABC) algorithms allowing one to obtain parameter posterior distributions based on simulations not requiring likelihood computations.

@article{wegmann_abctoolbox:_2010, abstract = {The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayesian inference has therefore been limited to very simple models. The situation changed recently with the advent of Approximate Bayesian Computation (ABC) algorithms allowing one to obtain parameter posterior distributions based on simulations not requiring likelihood computations.}, added-at = {2017-01-09T13:57:26.000+0100}, author = {Wegmann, Daniel and Leuenberger, Christoph and Neuenschwander, Samuel and Excoffier, Laurent}, biburl = {https://www.bibsonomy.org/bibtex/289e03fbf01527bc5d4f262889c1f38cb/yourwelcome}, doi = {10.1186/1471-2105-11-116}, interhash = {abf55b8872c345767ee8760d60fcfb21}, intrahash = {89e03fbf01527bc5d4f262889c1f38cb}, issn = {1471-2105}, journal = {BMC Bioinformatics}, keywords = {Approximate Bayesian Software inference, simulations,}, number = 1, pages = 116, shorttitle = {{ABCtoolbox}}, timestamp = {2017-01-09T14:01:11.000+0100}, title = {{ABCtoolbox}: a versatile toolkit for approximate {Bayesian} computations}, url = {http://www.biomedcentral.com/1471-2105/11/116}, urldate = {2012-05-18}, volume = 11, year = 2010 }