13 citations · 39 across the 28 of their papers we have counts for
7 papers · 1 filter
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…
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 (…
Joint species distribution modeling of abundance data through latent variable barcodes
Braden Scherting, Otso Ovaskainen, David B. Dunson
Accelerating global biodiversity loss has highlighted the role of complex relationships and shared patterns among species in determining their responses to environmental changes. T…
Bayesian Learning of Clinically Meaningful Sepsis Phenotypes in Northern Tanzania
Alexander Dombowsky, David B. Dunson, Deng B. Madut +2
Sepsis is a life-threatening condition caused by a dysregulated host response to infection. Recently, researchers have hypothesized that sepsis consists of a heterogeneous spectrum…
Removing the influence of a group variable in high-dimensional predictive modelling
Emanuele Aliverti, Kristian Lum, James E. Johndrow +1
In many application areas, predictive models are used to support or make important decisions. There is increasing awareness that these models may contain spurious or otherwise unde…
Bayesian modeling of networks in complex business intelligence problems
Daniele Durante, Sally Paganin, Bruno Scarpa +1
Complex network data problems are increasingly common in many fields of application. Our motivation is drawn from strategic marketing studies monitoring customer choices of specifi…
Adverse Subpopulation Regression for Multivariate Outcomes with High-Dimensional Predictors
Bin Zhu, David B. Dunson, Allison E. Ashley-Koch
Biomedical studies have a common interest in assessing relationships between multiple related health outcomes and high-dimensional predictors. For example, in reproductive epidemio…