2 papers
stat.ME2019
On the overestimation of widely applicable Bayesian information criterion
Toru Imai
A widely applicable Bayesian information criterion (Watanabe, 2013) is applicable for both regular and singular models in the model selection problem. This criterion tends to overe…
stat.ME2019
Estimating Real Log Canonical Thresholds
Toru Imai
Evaluation of the marginal likelihood plays an important role in model selection problems. The widely applicable Bayesian information criterion (WBIC) and singular Bayesian informa…