%0 Journal Article %1 watanabe2013widely %A Watanabe, Sumio %D 2013 %J Journal of Machine Learning Research %K inthesis diss waic akaike information criterion theory model selection comparison citedby:scholar:count:80 citedby:scholar:timestamp:2017-4-14 %N Mar %P 867--897 %T A widely applicable Bayesian information criterion %V 14

@article{watanabe2013widely, added-at = {2017-04-14T17:30:30.000+0200}, author = {Watanabe, Sumio}, biburl = {https://www.bibsonomy.org/bibtex/263e211ae46d9a5a1d7a7c61172295300/becker}, interhash = {fa5bc7c8d241fd3fdee65a90d5a7205d}, intrahash = {63e211ae46d9a5a1d7a7c61172295300}, journal = {Journal of Machine Learning Research}, keywords = {inthesis diss waic akaike information criterion theory model selection comparison citedby:scholar:count:80 citedby:scholar:timestamp:2017-4-14}, number = {Mar}, pages = {867--897}, timestamp = {2017-04-14T17:30:30.000+0200}, title = {A widely applicable Bayesian information criterion}, volume = 14, year = 2013 }