no code implementations • 9 Jun 2020 • Tommaso Rigon, Amy H. Herring, David B. Dunson
Several existing clustering algorithms, including k-means, can be interpreted as generalized Bayes estimators under our framework, and hence we provide a method of uncertainty quantification for these approaches.
1 code implementation • 27 Dec 2019 • Kelly R. Moran, David Dunson, Amy H. Herring
Our model also enables the prediction of chemical dose-response profiles based on chemical structure (that is, without in vivo or in vitro testing) by taking advantage of a large database of chemicals that have already been tested for toxicity in HTS programs.
Applications
1 code implementation • 7 Oct 2019 • Arkaprava Roy, Isaac Lavine, Amy H. Herring, David B. Dunson
As an alternative, we propose a class of Perturbed Factor Analysis (PFA) models that assume a common factor structure across studies after perturbing the data via multiplication by a study-specific matrix.
Methodology
1 code implementation • 20 Aug 2019 • Kelly R. Moran, Elizabeth L. Turner, David Dunson, Amy H. Herring
In low-resource settings where vital registration of death is not routine it is often of critical interest to determine and study the cause of death (COD) for individuals and the cause-specific mortality fraction (CSMF) for populations.
Applications