Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

标题
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
作者
关键词
Bayesian computation, Leave-one-out cross-validation (LOO), <em class=EmphasisTypeItalic >K</em>-fold cross-validation, Widely applicable information criterion (WAIC), Stan, Pareto smoothed importance sampling (PSIS)
出版物
STATISTICS AND COMPUTING
Volume 27, Issue 5, Pages 1413-1432
出版商
Springer Nature
发表日期
2016-08-31
DOI
10.1007/s11222-016-9696-4

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now