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10/29/2021
Principal Component Pursuit for Pattern Identification in Environmental Mixtures
Environmental health researchers often aim to identify sources/behaviors...
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09/28/2021
Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution
Children's health studies support an association between maternal enviro...
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10/21/2020
Integrated causal-predictive machine learning models for tropical cyclone epidemiology
Strategic preparedness has been shown to reduce the adverse health impac...
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06/12/2020
Reflection on modern methods: Good practices for applied statistical learning in epidemiology
Statistical learning (SL) includes methods that extract knowledge from c...
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11/11/2019
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
Ensemble learning is a standard approach to building machine learning sy...
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10/16/2019
On the Interplay Between Exposure Misclassification and Informative Cluster Size
In this paper we study the impact of exposure misclassification when clu...
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04/01/2019
Adaptive Ensemble Learning of Spatiotemporal Processes with Calibrated Predictive Uncertainty: A Bayesian Nonparametric Approach
Ensemble learning is a mainstay in modern data science practice. Convent...
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12/17/2018
Matching on Generalized Propensity Scores with Continuous Exposures
Generalized propensity scores (GPS) are commonly used when estimating th...
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12/08/2018
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process
Ensemble learning is a mainstay in modern data science practice. Convent...
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12/02/2017
