{"id":572,"date":"2020-05-29T10:29:38","date_gmt":"2020-05-29T14:29:38","guid":{"rendered":"http:\/\/www.matthewpratola.com\/?p=572"},"modified":"2021-01-05T23:22:51","modified_gmt":"2021-01-06T04:22:51","slug":"572","status":"publish","type":"post","link":"https:\/\/matthewpratola.com\/2020\/05\/29\/572\/","title":{"rendered":""},"content":{"rendered":"\n

Our latest BART paper, “Assessing variable activity for Bayesian regression trees<\/em>,” has been posted to arXiv! In this work, Akira Horiguchi investigates alternatives to the usual split-count variable activity metrics. Building on the idea of Sobol indices, Akira finds that the popular split-count can, in fact, be quite misleading. Subsequently, an efficient algorithm for computing such indices in BART models is developed and an interesting connection to the usual split-count metric is described. We will be adding this feature to the OpenBT code base over the next few months! https:\/\/arxiv.org\/abs\/2005.13622<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Our latest BART paper, “Assessing variable activity for Bayesian regression trees,” has been posted to arXiv! In this work, Akira Horiguchi investigates alternatives to the usual split-count variable activity metrics. Building on the idea of Sobol indices, Akira finds that the popular split-count can, in fact, be quite misleading. Subsequently, an efficient algorithm for computing … <\/p>\n