9 papers
Model-based indicators for co-clustered environments and species communities
Braden Scherting, Otso Ovaskainen, Tomas Roslin +1
Accurate biodiversity monitoring is essential for effective environmental policy, yet current practices often rely on arbitrarily defined ecosystems, communities, and ad-hoc indica…
Uncertainty Quantification in Bayesian Clustering
Garritt L. Page, Andrés F. Barrientos, David B. Dahl +1
Bayesian clustering methods have the widely touted advantage of providing a probabilistic characterization of uncertainty in clustering through the posterior distribution. An amazi…
A note on simulation methods for the Dirichlet-Laplace prior
Luis Gruber, Gregor Kastner, Anirban Bhattacharya +3
Bhattacharya et al. (2015, Journal of the American Statistical Association 110(512): 1479-1490) introduce a novel prior, the Dirichlet-Laplace (DL) prior, and propose a Markov chai…
Targeted empirical Bayes for more supervised joint factor analysis
Glenn Palmer, David B. Dunson
Joint Bayesian factor models are popular for characterizing relationships between multivariate correlated predictors and a response variable. Standard models assume that all variab…
Scalable and robust regression models for continuous proportional data
Changwoo J. Lee, Benjamin K. Dahl, Otso Ovaskainen +1
Beta regression is used routinely for continuous proportional data, but it often encounters practical issues such as a lack of robustness to misspecification of the beta distributi…
Quantifying sleep apnea heterogeneity using hierarchical Bayesian modeling
Glenn Palmer, Narat Srivali, David B. Dunson
Obstructive Sleep Apnea (OSA) is a breathing disorder during sleep that affects millions of people worldwide. The diagnosis of OSA often occurs through an overnight polysomnogram (…